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Wetland Classfication Based on Plarimetric SAR Decompositions

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Title
Wetland Classfication Based on Plarimetric SAR Decompositions
Authors
Hong, Sang-Hoon
Kim, Hyun-Ok
Wdowinski, Shimon
Issue Date
2014
Citation
Hong, Sang-Hoon, Hyun-Ok Kim, and Shimon Wdowinski. 2014. Wetland Classfication Based on Plarimetric SAR Decompositions. 2014 IEEE International Geoscience and Remote Sensing Symposium, Quebec. 2014.07.13-18.
Abstract
Polarimetric SAR observations are very useful to characterrize and monitor the Earth's surface because they provide more information than single channel SAR data. We developed a new decomposition, which accounted for double bounce scattering in cross polarization signal. We used our four-component decomposition to characterize the wetland vegetation in the Everglades using three quad-polarimetric data sets: TerraSAR-X, Radarsat-2, and ALOS. We used the decomposition results to generate vegetation classification maps using Trimble eCognition software.
Conference Name
2014 IEEE International Geoscience and Remote Sensing Symposium
Conference Place
Quebec
Conference Date
2014.07.13-18.
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