Fully polarimetric alos palsar data applications for snow and ice studies
DSpace at IIT Bombay
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Title |
Fully polarimetric alos palsar data applications for snow and ice studies
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Creator |
VENKATARAMAN, G
SINGH, G YAMAGUCHI, Y |
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Description |
In this study, the capability assessment of fully polarimetric L-band ALOS PALSAR data has been carried out for snow discrimination from other targets. Eigenvaluve based polarization fraction value has been determined for assessing the capability of PALSAR data for snow discrimination. Radar snow index has been developed using polarization fraction and normalized third eigenvalue of coherency matrix. It has been found that radar snow index is more robust and simple to implement that supervised classification.
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Publisher |
IEEE
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Date |
2011-10-24T20:27:03Z
2011-12-15T09:11:44Z 2011-10-24T20:27:03Z 2011-12-15T09:11:44Z 2010 |
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Type |
Proceedings Paper
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Identifier |
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM,1776-1779
978-1-4244-9566-5 http://dx.doi.org/10.1109/IGARSS.2010.5649401 http://dspace.library.iitb.ac.in/xmlui/handle/10054/15515 http://hdl.handle.net/100/2255 |
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Source |
IEEE International Geoscience and Remote Sensing Symposium,Honolulu, HI,JUN 25-30, 2010
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Language |
English
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