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A critical analysis of polarimetrie signatures on PALSAR 2 data for land cover classification

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dc.contributor.author Phartiyal, Gopal Singh
dc.date.accessioned 2025-05-05T06:56:17Z
dc.date.available 2025-05-05T06:56:17Z
dc.date.issued 2016
dc.identifier.uri https://ieeexplore.ieee.org/document/8263070
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18844
dc.description.abstract In this paper, polarization signatures are extracted for utilization of the fully polarimetrie L-band ALOS-PALSAR 2 data. These signatures are extracted for different land cover classes (i.e., urban, water, short vegetation, tall vegetation and bare soil). Critical analysis is performed on the polarization signatures generated of different classes. Further, polarization signatures of different classes are compared with the help of normalized Euclidean distance (NED) and normalized signature correlation mapper (NSCM). Decision tree based algorithm is developed with the help of NSCM, NED and backscattered image for the classification of different land cover classes. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Computer Science en_US
dc.subject PALSAR (Phase Array L-band synthetic aperture RADAR) en_US
dc.subject Co-polarization signatures en_US
dc.subject Cross-polarization signatures en_US
dc.subject Decision tree classification en_US
dc.title A critical analysis of polarimetrie signatures on PALSAR 2 data for land cover classification en_US
dc.type Article en_US


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