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Introduction
Additional affiliations
January 2009 - December 2011
November 2004 - present
Education
October 1997 - September 2002
October 1991 - September 1996
Publications
Publications (50)
Multifractals have proven to be a valuable tool in image analysis applications and remote sensing (RS). They can be used for image segmentation, texture analysis, and classification. This study explores their applicability to change detection. We present a new approach to image texture description based on the calculation of a spatialized Hölder ex...
Hyperspectral images provide complex information about the Earth’s surface due to their very high spectral resolution (hundreds of spectral bands per pixel). Effective processing of such a large amount of data requires dedicated analysis methods. Therefore, this research applies, for the first time, the degree of multifractality to the global descr...
The coordination of humanitarian relief is always difficult due to a lack of data required for management and planning. Remote sensing imagery can be an important source of information about the in-situ situation, notably, no-access areas. Scenarios include situation awareness after natural disasters or military conflicts, damage assessment, or mon...
Hyperspectral data provides huge amount of detailed information about spectral properties of the objects. In the era of fast data volume enlargement, it is necessary to develop methods and algorithms which are capable for information extraction from Big Data. On the other hand, plenty of phenomena observed on Earth reveal (multi)fractal character o...
We evaluated the performance of nine machine learning regression algorithms and their ensembles for sub-pixel estimation of impervious areas coverages from Landsat imagery. The accuracy of imperviousness mapping in individual time points was assessed based on RMSE, MAE and R². These measures were also used for the assessment of imperviousness chang...
In this work we analyse fractal and multifractal characteristics for description and extraction of information from VHR satellite images. We propose the degree of multifractality as a global descriptor of satellite image content and investigate its usefulness for classification of WorldView-2 image chips into main land cover types. The research con...
In this work nine non-linear regression models were compared for sub-pixel impervious surface area mapping from Landsat images. The comparison was done in three study areas both for accuracy of imperviousness coverage evaluation in individual points in time and accuracy of imperviousness change assessment. The performance of individual machine lear...
In this letter, we apply the multifractal formalism to land cover change detection on very high spatial resolution data. Specifically, multifractal spectra are determined and, with modifications, are used as an initial general indicator of change on the subsets of IKONOS and Pleiades images. Next, we calculate Hölder exponents for each pixel in the...
Research presented in this paper is focused on the efficiency assessment of multifractal description as a tool for Image Information Mining. Large datasets of very high spatial resolution satellite images (WorldView-2 and EROS-A) have been analysed. The results have confirmed the superiority of multifractals as global image descriptors in compariso...
The aim of our research was to evaluate the applicability of textural measures for sub-pixel impervious surfaces estimation using Landsat TM images based on machine learning algorithms. We put the particular focus on determining usefulness of five textural features groups in respect to pixel- and sub-pixel level. However, the two-stage approach to...
The paper presents accuracy comparison of sub-pixel classification based on medium resolution Landsat data and high resolution RapidEye satellite images, performed using machine learning algorithms built on decision and regression trees method (C.5.0 and Cubist). The research was conducted in southern Poland for the catchment of the Dobczyce Reserv...
The significant influence of land use and land management on water cycle can be reflected in hydrological modelling by entering a parameterized land use map into the program. However, relatively long periods used in hydrology in the context of rapidly changing land cover exclude constant projection of catchment response to the precipitation through...
Information about soils is, beside the digital terrain model and the structure of land use an essential part in
delineation of the hydrological response units (HRU), which are the basis to perform the process of
hydrological modelling. The main factors affecting modelling results are soil map resolution and the
accuracy of parameters describing soi...
The paper presents accuracy comparison of subpixel classification based on medium resolution Landsat images, performed using machine learning algorithms built on decision and regression trees method (C.5.0/Cubist and Random Forest) and artificial neural networks. The aim of the study was to obtain the pattern of percentage impervious surface covera...
In this paper we present the results of research carried out to assess the usefulness of wavelet-based measures of image texture for classification of panchromatic VHR satellite image content. The study is based on images obtained from EROS-A satellite. Wavelet-based features are calculated according to two approaches. In first one the wavelet ener...
The number of hyperspectral sensors and data grows systematically and dynamically. Hyperspectral data delivers huge number of precise information but character of data requires specific methods of processing. One of these methods can be the use of the fractal description. In literature there are only a few attempts to analyze hyperspectral images u...
In 2011 the Marshal Office of Małopolska Voivodeship decided to evaluate the vulnerability of soils to water erosion for the entire region. The quantitative and qualitative assessment of the erosion risk for the soils of the Małopolska region was done based on the USLE approach. The special work-flow of geoinformation technologies was used to fulfi...
Over the last years, many features describing satellite images have been proposed. In this paper we analyse and compare fractal and multifractal features in the context of the discrimination of the four most common land cover classes on very high resolution optical satellite images. In particular, we consider agricultural, forest, urban and water c...
Geographic Information Systems are considered and used as a tool supporting designers in the process of linear infrastructure routing. In case of designing a railway or a road the terrain is one of the most important factors to be considered. The appropriate methodology of incorporation of topography-related issues into the analytic process is nece...
The paper presents accuracy comparison of subpixel classification based on medium resolution satellite images (Landsat 5TM), performed using two machine learning algorithms (C5.0/Cubist and Random Forest) built on decision and regression trees method. The research was conducted for the immediate catchment of the Dobczyce Reservoir (which is the mai...
In studies on the geological environment, besides the traditional geophysical measurement techniques, remote sensing data is used. The optical multispectral data is still the first and most commonly used. The importance of radar data has recently increased due to the development of this type of satellite imaging systems. The use of thermal data, na...
Increasing amount of Very High Resolution (VHR) data requires new methods of information mining. In this paper we describe applicability of multifractal theory for VHR panchromatic image analysis. The aim of the study was to examine if selected multifractal parameters can be considered as efficient features describing the image. We used them as inp...
The paper presents the results of the study of usefulness of selected textural features for describing the content of image chips (1024 by 1024 pixels) cut from WorldView-2 panchromatic images. Several texture analysis techniques were applied to calculate 290 different global image descriptors. These features together with 4 histogram-based charact...
In our work we analyse fractal and multifractal characteristics for description and extraction of information from very high spatial resolution satellite images. In particular, we propose the degree of multifractality as a parameter for extraction of four land cover types and investigate its usefulness in comparison with the fractal dimension. Resu...
Texture is considered as one of the most crucial image features used commonly in computer vision. It is important source of information about image content, especially for single-band images. In this paper we present the results of research carried out to assess the usefulness of selected textural features of different groups in panchromatic very h...
In our work we present multifractal formalism as a tool for description and extraction of information on very high spatial resolution satellite images. This approach is based on an assumption that single image (multifractal) consists of number of fractals, each with different dimension. Multifractals are used for description, modelling, analysis an...
In our work we present multifractal formalism as a tool for description and extraction of information on very high spatial resolution satellite images. This approach is based on an assumption that single image (multifractal) consists of number of fractals, each with different dimension. Multifractals are used for description, modelling, analysis an...
One of the main objectives of geographical information systems is to support the process of decision making. Spatial modeling can be a useful tool to provide such support also for the analyses of general security, including preventing illegal border crossing (immigration and smuggling). The paper presents a spatial model to estimate the level of bo...
In 2011 the Marshal Office of Malopolska Voivodeship decide to evaluate the vulnerability of
soils to water erosion for the entire region. The special work-flow of geoinformation technologies was
used to fulfil this goal.
First of all, the soil map had to be updated to include changes in land use and land cover which
took place since 1960s, when mo...
The main aim of the research described in the paper was analyse the accuracy of photointerpretation of impervious surface using IKONOS images and its influence on the imperviousness factor determination. Two kinds of IKONOS image were chosen to tests: panchromatic and colour pansharp. Airborne ortopho (pixel size of 0.2m) was applied as a reference...
The paper presents an example of the application of the landscape functions and natural potentials methodology to the environmental assessment in the upland area of Pradnik and Dlubnia rivers catchments, south Poland. The aim of the research was to propose evaluation methodology applied in GIS environment and based on available digital (or easy for...
SŁOWA KLUCZOWE: Ikonos, wysokorozdzielcza ortofotomapa satelitarna, metoda parametryczna, metoda RPC, ocena dokładności, DTED STRESZCZENIE: Prezentowane prace wykonano w ramach projektu zainicjowanego przez Przedsiębiorstwo Geodezyjno-Informatyczne COMPASS S.A. w Krakowie i zrealizowanego wspólnie z Zakładem Fotogrametrii i Informatyki Teledetekcyj...
1. Wprowadzenie Region Cinque Terre znajduje siê w pó³nocno-zachodnich W³oszech, w prowincji Ligu-ria. Obszar ten po³o¿ony jest nad morzem i otoczony górami. Charakterystyczn¹ cech¹ krajobrazu antropogenicznego s¹ tarasowe poletka, na których uprawia siê winorol. Jest to przyk³ad ukszta³towanego przez oko³o tysi¹c lat krajobrazu kulturowego. Zas³u...
Merging Landsat TM multispectral image and airborne photography is the general concept of the study presented. The large Lignite Open-Cast Mine "Belchatow" located in the central part of Poland, was a study area. The main subject of this investigation was used merged satellite and aerial images for discrimination of the geological features and dete...
![Figure 2. Modeled catchments with Landsat TM [123] color composite...](profile/Wojciech-Drzewiecki-2/publication/228955622/figure/fig1/AS:669397010108422@1536608092814/Modeled-catchments-with-Landsat-TM-123-color-composite-year-1985-in-the-background_Q320.jpg)
Synoptic information on suspended matter inflow into reservoirs is important because of the potential storage capacity reduction and water contamination. Such prognosis is difficult to obtain only from in situ measurement. This can be solved by modeling water soil erosion effect using Digital Elevation Model, climate data, soil type parameters and...
1. Symulacja powodzi na podstawie Cyfrowego Modelu Rzeźby Terenu (CMRT). W bazie danych KAWK znajduje się CMRT w postaci gridowej, którego rozdzielczość wynosi 50 m. Natomiast Mapa Użytkowania Terenu, dostępna w Atlasie również w postaci gridowej ma rozdzielczość 10 m. Dla umożliwienia analiz gridowych rozdzielczość CMRT została "sztucznie" zwiększ...
SËOWA KLUCZOWE: teledetekcja satelitarna, sensor ALI , zanieczyszczenia wód, zbiorniki wodne STRESZCZENIE: W artykule przedstawiono wstępne wyniki bada ń dotycz ących próby wykorzystania wielospektralnych obrazów zarejestrowanych z pokadu satelity EO-1 za pomoc ą sensora ALI ( Advanced Land Imager ), dla oceny stanu, relacji przestrzennych procesu...
The large Lignite Open-Cast Mine "Belchatow" located in the central part of Poland, was a study area. The main subject of this investigation was used merged satellite and aerial images for discrimination of the geological features and detection of the mining structure and geometry of the open pit mine. Visual and statistical analysis methods were u...
This paper presents a remote-sensing model of obtaining landscape data and the interpretation properties of the imagery data obtained from aerial and satellite photographs. Special attention was paid to remote multitemporal imagery in the aspect of documenting changes that occur in the landscape, especially with reference to such protected areas as...
Projects
Projects (4)
The main objective of this project is related to the presented issues and concerns the development of multifractal description of remote sensing images, as well as the evaluation of its applicability in the selected aspects of processing and analyzing of satellite and aerial optical data. More precisely, in the frame of the project we are planning: (I) change detection on high and very high spatial resolution satellite images; (II) analysis of image information capacity and detection of absorption bands on hyperspectral data; (III) classification of the selected land cover forms. We are planning to perform our analysis on large optical data sets, acquired by satellite and aerial sensors. Moreover, we want to compare the usefulness of multifractal formalism with mathematical morphology.
Project founded by Polish National Science Centre (NCN) through grant 2016/23/B/ST10/01151
This project was supported by the Polish National Science Centre (NCN) and the Ministry of Science and Higher Education (MNiSW) through Grant NN 526 1568 40. The scientific aim of this project is to investigate usefulness of the advanced multifractal formalism for the analysis and description of satellite imagery. In particular, we develop multifractal methods and models in the context of classification, segmentation, as well in detection of changes.
