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LEFA SOFTWARE: AN AUTOMATIZED STRUCTURAL ANALYSIS OF REMOTE SENSING IMAGERY IN MATLAB ENVIRONMENT

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Structural analysis of space images is used as the base foundation for organizing regional geological search and prospecting works on affordable factual base. however, there is a lacking of open source software for research and educational applications. in order to fill this gap lEFA (lineament Extraction and Fracture Analysis) software has been offered. this software runs in Matlab environment and has the algorithms for lineament analysis and fault detecting, calculation of fractal dimension, fracture density and output of both vector and raster data in georeferenced formats. Given paper describes software interface, its features, methodologies to be used and approach to data analysis of fracture tectonics of sikhote-Alin folded belt south (Russian Far East). Research area includes polygenic terrane collage intruded by Meso-cenozoic complexes, unconformable overlapped by volcanic-sedimentary cover. there are deep-seated faults traced by mélange zones, sinistral strike-slip faults of northeastern strike, gentle-sloped thrust in northwestern direction, near-slip structures of contraction and tension as well as ring fractures of magmatic uplifts and calderas. tectonomagmatic complexes are associated with the numerous ore and precious metals deposits and manifestations. in view of low passability of sikhote-Alin due to its taiga forestation and thick soil layer, planning of regional search and prospection works is supported by results of space image analysis. it makes possible to concentrate filed surveying on the most prospective areas. correlation between automatically detected image elements and their density map with known sikhote-Alin folded belt structures is also considered.
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1Дальневосточный геологический институт ДВО РАН, Владивосток, e-mail: shevirev@mail.ru;
2Дальневосточный федеральный университет, Владивосток
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
1Far East Geological institute, FEB RAS, Vladivostok, e-mail: shevirev@mail.ru;
2Far Eastern Federal University, FEFU, Vladivostok
  




           





                 

     




   
   


    
     
   
   
   
   
   

    








   
  
    
   
     
  



   
     

  
   
    


   
    
    
 
   

  
     



   
    
   
     
   
    
   
  


  
    

   

   

  
   
   
   


    



Организация пользовательского интер-
фейса.   
 
     
     
    
     
  

     
    
     
    




   
    

    
     
    
     

     

    
    

   



   
     
     

    
  
    
     

 
  
  
     
   

    
   

    






   

    
    
   
   

   

   
     
    
    
   
  
      
   


    





    
   
    
   
   k/b
   
    
   
   
    


    


  



     

  

   

Рис. 1. Оконный интерфейс программы LEFA. Функциональные области: 1 – файловых операций;
2 – окно просмотра изображения; 3 – предварительной обработки (фильтрации изображения);
4 – анализа линейных элементов по методу Хафа; 5 – объединения выделенных элементарных
линейных элементов в «линеаменты»; 6 – области создания аналитических изображений:
полигонального покрытия с значениями фрактальной размерности Минковского, растровой
карты плотности линейных элементов и розы-диаграммы направлений линейных элементов;
7 – статистика распознанных элементов





   
   
  
   

   
   
    
   
     
    
   
   


Сравнение программы с имеющимися
аналогами.   
    
  
   
    


   

  
    
    


   
    
      
    

   
   


    




    

  


     
    
    
  

   

   


   




 

 




   
  
  

   
  
   
   
   
   



   
   
    

   
   
   
   
   
   
   
   



   
    
   
   
    
 
   


  
  

  



Рис. 2. Схема геологического строения участка Сихотэ-Алинского супертеррейна
Рис. 3. a) Исходные данные SRTM для экспресс-дешифрирования
территории САТ в пределах Приморского края (ресемплирование 0.1);
б) Результат автоматизированной обработки данных SRTM в программе LEFA







    

    
    

    
  
   
     
  
   
     


   
   


   
  
  

   
     
  
    
    
  
   


  


  


   
  


      
   

  
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  
     
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
         
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   
    
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      
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       
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    
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 
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... However, the increasing availability of high-resolution satellite imagery and the need for large-scale mapping has led to the development and implementation of automated methods for lineament analysis. The automated analysis enables the processing of large amounts of data quickly and accurately, making it a valuable tool for studying geological structures and tectonic features in various regions [7,[20][21][22]. Nonetheless, automated lineament analysis also has limitations, as it may not detect all visible lineaments and can produce false positives or negatives. ...
... Finally, the LEFA algorithm conducts feature analysis to identify linear elements. It analyzes the geometric properties of potential linear elements, such as their length, orientation, and shape, as well as the properties of neighboring pixels to determine whether they are actual linear features or not [22]. The Canny edge detection algorithm with a Gaussian noise filter was selected to study a linear network [21]. ...
Article
The main purpose of this work is to study earthquake precursors using lineament analysis for an earthquake of magnitude Mw3.0 that occurred in 2019 on the territory of the Almalyk-Angren industrial zone in Uzbekistan. The Landsat 8 satellite images were processed using the automated lineament detection method in the LEFA software. The processing steps included to detect line elements in raster images, calculate the characteristics of the spatial distribution of line elements, combining collinear linear elements into lineaments. The analysis of the cyclicality of precursors before and after earthquakes were based on the study of the distribution of the lineaments trend in the study area using rose diagrams and lineaments density maps. The results showed a change in the dynamics of lineament structure. The statistics of the number of lineaments showed that their increase begins almost 20 days before the event, reaches its maximum about 1 – 2 days before the earthquake, and decreases starting from 14 days after the earthquake, and has a minimum value in 1 – 2 months. The main trends observed in the lineament map showed dominant trend in NS, WE, NW-SE directions.
... The results provide significant advances in the field of ore body exploration [2]. The use of such software tools as LESSA, LEFA makes it possible to automatically search for linear elements and analyze their orientation and location, and also their density [3,4]. PCA Geomatica software includes a special LINE module. ...
... To find them, the Hough transformation is applied to the raster image. In the functional area, the main parameters of the Hough transformation are set [4]. ...
... The results provide significant advances in the field of ore body exploration [2]. The use of such software tools as LESSA, LEFA makes it possible to automatically search for linear elements and analyze their orientation and location, and also their density [3,4]. PCA Geomatica software includes a special LINE module. ...
... To find them, the Hough transformation is applied to the raster image. In the functional area, the main parameters of the Hough transformation are set [4]. ...
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Lineament analysis is an important structural and geological indicator for determining general and local tectonic trends and fracture zones in rocks, especially in mining zones. In this study we used optical and radar satellite data to analyze the density map of lineaments structure data for territory of Kashkadarya region - one of the main gas producing regions in Uzbekistan. The results show that according to Landsat 8 high density of lineaments is located near geology faults. During a detailed exploration, the density map according to SRTM data found that at an azimuth of 1800, 2250, 2700, and 3150 the density is much higher than at an azimuth of 00, 450, 900, and 1350. KEYWORDS: lineaments, optical and radar data, density map, hillshade, rose-diagram
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Automated mapping of disturbances in the earth’s crust allows you to quickly identify areas of development of dangerous geological processes, and to determine the measures that should be taken to organize the safe operation of extended linear structures (roads and railways, pipelines, power lines) that run through areas with difficult natural conditions. The main trigger mechanism causing the activation of dangerous geological processes is displacements in zones of active faults in the earth’s crust. Monitoring the state of fault zones and timely detection of manifestations of hazardous processes are urgent tasks for ensuring the sustainable development of regional infrastructure. The area of the Poyasok isthmus (Sakhalin Island) was chosen as the object of research, along the territory of which there are automobile and railway roads, power lines, and the main pipeline of the Sakhalin-2 project was laid along the isthmus coast. Lineament analysis of space images and SRTM data using the LEFA software package by binary morphological erosion method to highlight boundaries, as well as made selection long lines by performing mathematical operations using Canny algorithms, with subsequent Hough transformations, were carried out to identify faults of research territory. The obtained intermediate data were processed using the tools of the QGIS software package and made it possible to compile a map of disjunctive disturbances for the area under study. Lineament analysis made it possible to identify faults that bound the block megastructure of the Poyasok isthmus from the north and south. The saddle of Poyasok isthmus separates the large Central Sakhalin and South Sakhalin segments of the Hokkaido-Sakhalin system of island uplifts. Structures of the Central-Kamyshovy and South-Kamyshovy lifted megablocks (3 orders) in the West-Sakhalin Mountains adjoin directly to the saddle. The southern part of the Central-Kamyshovy mega-uplift is represented by a series of uplifts separated by narrow depressions bounded by faults. The number of uplifts increases with the distance to the north from the Poyasok isthmus. The northern part of the South-Kamyshovy mega-uplift is divided by faults of the northern-east strike into block structures. The obtained data are suitable for performing detailed seismic zoning.
Article
As a result of the stress state of the lithospheric block, a structure of orthogonal cracks may appear as a network of straight or arcuate topographic elements of the regional extent on the Earth’s surface—lineaments. In the last decade, one of the directions of lineament analysis had been the identification of the so-called transverse structures using remote sensing methods, which often serve as the geological boundaries of crustal blocks. Various lineament analysis methods are being actively developed: image enhancement, manual digitizing methods, and automatic extraction using software and algorithms. Revealing the relationship between lineaments and their characteristics with natural and anthropogenic processes is the relevant task. The tectonic lineament network is associated with deep faults and, in particular, ore regions that can be localized at the intersection of large lineaments. Therefore, most studies of increased accumulation of lineaments are carried out in areas where mineral deposits and groundwater deposits are identified. These areas include the Fergana region, which is one of the five oil and gas regions of the Republic of Uzbekistan. The presence of a fund of promising traps justifies the need for comprehensive geoinformation support, including satellite methods, and the possibility of transition to automatic methods for analyzing tectonic processes. Therefore, in this study, an automated lineament analysis was carried out in order to identify and interpret the transverse structures in this region. The study period (May–November 2019) was chosen to take into account the intensive exploration work in the region and the technical parameters of the images (without clouds). Landsat 8 satellite images were processed by the automated method of lineament structures interpretation in the LEFA program in the MATLAB environment. During the visual analysis of the processed images, it was identified that there was a temporary change in the number of lineament structures by month. At the same time, the northwestern part of the region (Namangan region) is characterized as the zone of the strongest manifestation of lineament structures. Further detailing of the lineament structures in terms of direction and orientation made it possible to determine the transverse structures. Thematic maps with the geospatial location of transverse structures showed that the nature and clarity of transverse structures varied depending on the features of the geological structure of the sections they intersected.
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The network of fault zones caused by vertical and horizontal tectonic displacements blocks of Earth’s crust relative to each other is clearly visible on the Earth’s surface in images obtained from satellite surveys. Many researchers distinguish linear and annular structures among the faults. Lineaments in satellite images are detected as rectilinear objects with a certain spectral brightness. The initial data for the experimental research includes images from the Landsat-8 satellite and SRTM data. The lineament analysis of satellite images and SRTM data of the Central-Kamyshovy meganticlinorium of the West Sakhalin Mountains was carried out using the functionality of the LEFA software package using the developed decryption technology. The obtained results were processed using the QGIS program tools. Statistical processing of Sakhalin lineaments was carried out on the basis of researching distribution directions of linear segments set of vector strokes data and lineaments data. The map of disjunctive disturbances of the Central-Kamyshovy meganticlinorium of Western Sakhalin Mountains on a scale 1:500 000 was compiled by basis of data obtained. The analysis of SRTM model with the help of LEFA toolkit made it possible to identify zones where discontinuous disturbances of the Earth’s crust are located. As a result of analysis, West Sakhalin fault and many other faults of a rank below 2 were identified. Fault zones are mapped on scale of 1:500 000. It was revealed that 15.3 % of all earthquakes in this area were timed to the Krasnopolsky fault, including in the zone within 1 km from the fault—70 %, 1–2 km—19 %, 2–3 km—9 %, more than 3 km—2 %. The results of work will be useful in choosing places for construction of industrial facilities, as well as for seismic zoning of territory.
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Sakhalin faults, as a rule, are accompanied by high seismicity, which must be taken into account when deciphering this territory. Certain factors accompanying earthquakes provide decoding features that allow more accurately determining the lineaments accompanying faults. With the help of automat-ic lineament analysis, it is not difficult to identify fault zones using mathematical algorithms used in computer vision. The purpose of the study is to show the dependence of the fault zones location and earthquake epicenters by analyzing a series of modified images of satellite surveys and geophysical data. The technology of fault decoding includes the following methods: 1) methods of preliminary processing of images that ensure operation on the ArcGIS platform; 2) methods for determining linea-ments that allow processing a series of images in the PyLEFA program; 3) methods for designing maps by analyzing the obtained lineaments and geophysical data of the studied territory on the QGIS plat-form. Results. This article examines the territory of the southwestern part of Sakhalin Island based on images obtained using the Landsat-8 satellite and SRTM data. The analysis of disjunctive disorders was carried out using the software products PyLEFA, QGIS and ArcGIS. As a result of the conducted studies, a dependence was revealed showing an increase in the number of earthquakes near the faults of the Earth's crust.
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Fault zones on the territory of Nature Sanctuary “Dolinsky” (Sakhalin Island), which are characterized by high geodynamic activity, are generally well distinguished when analyzing satellite imagery materials. In any territory, it is not difficult to identify the various plant communities that occupy it, as well as to determine their state by the content of phytomass determined by the vegetation index NDVI. The aim of the study is to test the validity of the hypothesis about the formation of abundant vegetation cover within the fault zones by analyzing the state of various plant communities by the volume of phytomass. Methods: decryption and analysis of Earth remote sensing data from Sentinel, Landsat and SRTM generation, geoinformation mapping on the ArcGIS platform. Results. In the course of the study, the state of the Nature Sanctuary “Dolinsky” analyzed by Landsat-8, Sentinel-2A satellite sur-veys, as well as SRTM data. Fault zones identified using the software systems ArcGIS, QGIS, and PyLEFA by lineament analysis, vegetation was classified by the maximum likelihood method, and its condition was determined by the values of the NDVI index, which reflects the content of phytomass in the study area. As result of the work carried out, an increase in phytomass revealed, and, consequently, good conditions for the growth of plant communities confined to the zones of distribution of faults of the earth's crust, and the reliability of the working hypothesis confirmed.
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The patterns of fractures in deformed rocks are rarely uniform or random. Fracture orientations, sizes, and spatial distributions often exhibit some kind of order. In detail, relationships may exist among the different fracture attributes, e.g. small fractures dominated by one orientation, larger fractures by another. These relationships are important because the mechanical (e.g. strength, anisotropy) and transport (e.g. fluids, heat) properties of rock depend on these fracture attributes and patterns. This paper describes FracPaQ, a new open source, cross-platform toolbox to quantify fracture patterns, including distributions in fracture attributes and their spatial variation.
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Based on digital elevation models SRTM03 and SRTM30_Plus (Shuttle Radar Topography Mission Survey) the technique for detecting major structural elements and elucidating details of the geologic structure including discrimination of linear structures and texture features is elaborated. The computation of the modulus of the first derivative by the co- ordinate, i.e
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Hough has proposed an interesting and computationally efficient procedure for detecting lines in pictures. This paper points out that the use of angle-radius rather than slope-intercept parameters simplifies the computation further. It also shows how the method can be used for more general curve fitting, and gives alternative interpretations that explain the source of its efficiency.
Способ проведения прогнозно-поисковых работ месторождений полезных ископаемых полезных ископаемых на исследуемой площади
  • С Л Шевырев
Шевырев С.Л. Способ проведения прогнозно-поисковых работ месторождений полезных ископаемых полезных ископаемых на исследуемой площади. Патент 2603856