Wetland Classfication Based on Plarimetric SAR Decompositions
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Title
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Wetland Classfication Based on Plarimetric SAR Decompositions
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Authors
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Hong, Sang-Hoon
Kim, Hyun-Ok
Wdowinski, Shimon
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Issue Date
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2014
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Citation
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Hong, Sang-Hoon, Kim, Hyun-Ok, Wdowinski, Shimon. 2014. Wetland Classfication Based on Plarimetric SAR Decompositions. 2014 IEEE International Geoscience and Remote Sensing Symposium. Quebec. 2014.07.13-18.
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Abstract
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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.
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Conference Name
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2014 IEEE International Geoscience and Remote Sensing Symposium
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Conference Place
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Quebec
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Conference Date
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2014.07.13-18
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Type
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Poster
- Appears in Collections
- 2014-2016, SaTellite Remote Sensing on West Antarctic Ocean Research (STAR) (14-16) / Kim; Hyun-cheol (PE14040; PE15040; PE16040)
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