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Classification of settlement is one of the most important applications of Polarimetric Synthetic Aperture Radar (POLSAR). This paper suggests an effective technique for classifying the urban area which is not orthogonal to radar line of sight by using Polarization Orientation Compensation (POC). Polarization orientation information combined with the decomposed image, when classified with decision...
The applicability of a recently developed compact polarimetric decomposition and inversion algorithm for C-band to estimate soil moisture under growing agricultural vegetation cover is investigated using simulated L-band compact Polarimetric Synthetic Aperture Radar (PolSAR) data. The surface scattering component is separated from the volume scattering component through a model-based compact polarimetric...
The objective of this paper study is to understand the land use land cover type information using C-band RADARSAT-2 data in quad pol and simulated hybrid pol mode. A quad-pol RADARSAT-2 image was used to simulate right circular hybrid polarimetric synthetic aperture radar SAR data. The area under rice cultivation shows dominance of double-bounce scattering, while cotton and banana crops shows dominance...
The capability of hybrid Polarimetric Synthetic Aperture Radar (PolSAR) to estimate soil moisture (under vegetation) was assessed within the agricultural region of Wallerfing in Lower Bavaria, Germany. A novel methodology based on a hybrid polarimetric decomposition together with a surface component inversion is developed to retrieve surface soil moisture. The model-based, hybrid decomposition technique...
The objective of this study is to understand the temporal characteristic of cotton, sugarcane, banana and rice crop using C-band quad pol RADARSAT-2 data. Temporal response of these crops was analyzed using H/A/α and model based Freeman-Durden decomposition. Results of this preliminary study indicate that the (Entropy, anisotropy α and α1) parameters are sensitive to crop growth stages and can be...
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