Alireza Safdarinezhad

Alireza Safdarinezhad
Tafresh University · Department of Geodesy and Surveying Engineering

Ph.D. in Geomatic Engineering

About

26
Publications
1,924
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50
Citations

Publications

Publications (26)
Article
Measuring the sag of electrical power transmission cables is an index for sensing their internal tension and safety. In this paper, a simple photogrammetric solution is proposed to measure them which only requires an image taken by a smartphone equipped with an internal accelerometer. In this method, a modified version of the well-known co-linearit...
Article
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The necessity of continuously monitoring the agricultural products in terms of their health has enforced the development of rapid, low-cost, and non-destructive monitoring solutions. Heavy metal contamination of the plants is known as a source of health threats that are made by their proximities with pollutant soil, water, and air. In this paper, a...
Article
Video-assisted navigation is a strategy that hyperspectral camera manufacturers usually use to deal with the geometric distortions imposed on raw pushbroom images due to perturbations. In this strategy, a simultaneous video is captured during a pushbroom raw image acquisition. This article proposes an automatic geometric correction method applicabl...
Article
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Map of croplands is one of the information layers required in the efficient management of these lands. Having such maps makes it possible to monitor agricultural fields during the growing season continuously. In this study, a solution to produce a map of Shahrekord’s agricultural lands in two agricultural and non-agricultural classes is presented u...
Article
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In this paper, a straightforward mathematical model is proposed to synchronize and estimate the relative parameters of videos taken with a fixed relative orientation. The foundation of this model was the well-known coplanarity condition that prevails between matched points of two perspective images. Nevertheless, the synchronization problem has als...
Article
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Malaria is a mosquito-borne infectious disease transmitted by the bite of Anopheles mosquitoes. Accurate and timely identification of Anopheles larval habitats and analysis of environmental factors affecting the formation and stability of these locations are very effective in the prevention and spread of malaria. In the absence of sufficient field...
Article
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In many studies regarding the field of malaria, environmental factors have been acquired in single-time, multi-time or a short-time series using remote sensing and meteorological data. Selecting the best periods of the year to monitor the habitats of Anopheles larvae can be effective in better and faster control of malaria outbreaks. In this articl...
Article
Full-text available
Extended Abstract Introduction Over the past three decades, with the rapid development of spatial-based satellite imagery, remote sensing technology has found a special place in various applications of urban management. Production of status maps of urban structures, the study of energy loss status, identification of thermal islands, monitoring of u...
Article
Surface soil moisture (SSM) is a critical factor in monitoring climate change, soil fertility, flood, and runoff modeling. Integration of satellite earth observations and field measurements data is a reliable approach to estimate environmental parameters in remote sensing applications. In this paper, a method is proposed to estimate the SSM by inte...
Article
Spectral target detection could be regarded as one of the strategic applications of hyperspectral data analysis. The presence of targets in an area smaller than a pixel’s ground coverage has led to the development of spectral un-mixing methods to detect these types of targets. Usually, in the spectral un-mixing algorithms, the similar weights have...
Article
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Nowadays, agricultural management via remote sensing technology has gained a special position among managers and the people who are in charge of this industry. Saffron (Red Gold) is one of specific Iran’s agricultural products with a high economic valance which is used in different fields of food and medical industries. Considering the cultivation...
Article
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The estimation of cultivation area and categorizing the agricultural product types is one of the prerequisites for achieving sustainable development in the agricultural studies. In this study, an unsupervised zoning the cultivation areas with the same cultivation pattern in Golestan province is on the agenda. Therefore, due to wide spatial range, h...
Article
Precise 3D registration of Light Detection and Ranging (LiDAR) data and High-Resolution Satellite Image (HRSI) is the prerequisite in the many remote sensing applications. An automatic registration process involves two main steps including the detection of corresponding entities and the estimation of a relating mathematical model. Typical matching...
Article
Rational polynomial coefficients (RPCs), which are provided for most of the commercial satellite images, match relevant image locations to their three-dimensional-ground positions. In spite of their key role in most of remote sensing analysis, a considerable amount of bias is usually seen in the RPCs that necessitate their refinement as a common pr...
Article
The automatic registration of LiDAR data and optical images, which are heterogeneous data sources, has been a major research challenge in recent years. In this paper, a novel hierarchical method is proposed in which the least amount of interaction of a skilled operator is required. Thereby, two shadow extraction schemes, one from LiDAR and the othe...
Article
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High accuracy and huge density of 3D points cloud acquired by airborne Lidar makes them as a good and suitable tool in order to analyze of terrain surface. In this procedure, points cloud clustering is a fundamental step in the procedure of information extraction form LiDAR's data. In this paper a novel method is proposed for supervised classificat...
Article
Full-text available
In traditional approach, the land surface temperature (LST) is estimated by the permanent or portable ground-based weather stations. Due to the lack of adequate distribution of weather stations, a uniform LST could not be achieved. Todays, With the development of remote sensing from space, satellite data offer the only possibility for measuring LST...
Article
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Orbital parameters model is one of the fully constrained physical models for geometrical correction of satellite imagery. The model has been developed to cover the physical conditions prevailing in the acquisition period of satellite platforms. The multiplicity of parameters in the modeling and correlation between them causes difficulties in solvin...
Article
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Investigation of various types of vegetation’s characteristics as an effective parameter in the energy exchange between the atmosphere and Earth's surface is very important in environmental, natural resources and agriculture studies. Nowadays, using remote sensing techniques and satellite imageries with a wide range of valuable spectral information...
Article
The Orbital Parameters Model (OPM) is a physically constrained model for geometrical correction of satellite images with dynamic geometry. In this model, Keplerian parameters are used to establish an exact relationship between image space and object space. However, insufficient information regarding the precision of the observed Keplerian elements...
Article
Full-text available
This paper proposes a new approach for geometrical modeling of satellite imagery which is used 2D-polynomials for 3D point determination from satellite stereo images. In this model, 2D polynomials are considered as additional parameters in colinearity equation, instead of consideration as a model for relating between ground and image space. Orbital...
Article
Full-text available
Mixed pixels could be considered as a major source of uncertainty through classification process of satellite imagery. In this regard, the use of soft classifiers is often inevitable in order to increase the accuracy of land cover estimates. Although soft classifiers provide detailed information for each pixel, spatial arrangement of sub-pixels rem...
Article
Full-text available
Taking the advantages of polarimetric radar data has a decisive role in target detection purposes. In this way, comprehensive geometric and descriptive information could be derived through processing this kind of data. However, the selection of optimal features could be considered as a major challenge in order to classification of the polarimetric...
Conference Paper
Full-text available
In this paper, the process of fusion multi-spectral (MS) and Panchromatic (PAN) images of IKONOS sensor using Fourier transform was performed. Results using high-frequency spatial information from PAN Image and spectral information of MS images show that the method has appropriate capability for fusion process. Then, with developing a new indicator...

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