Abstract
Synthetic Aperture Radar is an active remote sensing technique provides high – resolution image independent of atmospheric conditions. In this paper, the effect of decomposition technique on classification of region has been analyzed. For the classification, quad polarized SAR data has been used. The classified image obtained by thresholding algorithm is compared with reference data to obtain the accuracy. The decomposition methods are helpful in mapping the earth’s surface according to scattering behavior. The thresholding algorithm has great significance in applications such as target identification, edge detection, extraction and classification of remote sensing images, in detecting landslides and monitoring their activity which is of great importance for disaster prevention, preparedness and mitigation in hilly areas.
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Agarwal, T., Shrivastava, L. (2020). Identification of Urban and Water Areas from Polarimetric SAR Images Using Thresholding Algorithm. In: Pandit, M., Srivastava, L., Venkata Rao, R., Bansal, J. (eds) Intelligent Computing Applications for Sustainable Real-World Systems. ICSISCET 2019. Proceedings in Adaptation, Learning and Optimization, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-44758-8_51
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DOI: https://doi.org/10.1007/978-3-030-44758-8_51
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