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This paper compares the classification capability of data acquired in hybrid and dual linear polarization mode over the Chelmsford area, United Kingdom, from RISAT-1 C-band satellite. Support vector machine based supervised classification is used in the study and accuracy is assessed over the validation pixels. The hybrid-pol RH/RV combination shows better classification accuracy over linear pol HH/HV...
Soil moisture is one of the important variables in hydrological systems. Spatial and temporal dynamics of soil moisture are important for determining complex environmental process. The aim of the study is to assess the trend of soil moisture in India and to monitor agricultural drought in Medak district of Telangana state during the period 2002 to 2014. Spatio-temporal analysis has been performed...
A novel method for calculating optimum incidence angle for the TanDEM-X system using any available digital elevation model (DEM) for the given area is proposed in this study. This method includes the plotting of slopes and aspect of the test area in a statistical way and applying mathematical approach using acquisition geometry in ascending and descending pass TanDEM-X data to optimize the incidence...
Extraction of features from images has been a goal of researchers since the early days of remote sensing. This paper presents a statistical approach to detect dark curvilinear features due to ocean disturbances caused by wind, movements of surface or underwater objects and oil spill from SAR images. The image is first enhanced to emphasize the dark curvilinear features using a statistical approach...
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