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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/100/2502

Title: Classification of polarimetric synthetic aperture radar images from SIR-C and ALOS PALSAR
Authors: TURKAR, V
RAO, YS
Keywords: decomposition
Issue Date: 2008
Publisher: IEEE
Citation: INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN MICROWAVE THEORY AND APPLICATIONS, PROCEEDINGS,438-440
Abstract: SIR-C quad-pol MLC data and ALOS PALSAR quad-pol and dual pol SLC data over Indian sites have been processed using PoISARpro software for classification of various land features. The land features include ocean, clear water, settlements, agriculture fields, arid lands, grown and young forest, hilly terrain, mangrove forest, etc. The test sites used are SIR-C L-band and C-band Kolkata city and its surroundings, ALOS PALSAR data over West Bengal, Haryana, Rajasthan, Uttar Pradesh, and Mumbai. For Kolkata city we observed that classification results for L- and C-bands are slightly different. For Mumbai dual pol data classification accuracy is poor due to overlap of backscattering values for bare ground and mangrove vegetation with ocean backscattering values.
URI: http://dspace.library.iitb.ac.in/xmlui/handle/10054/15832
http://hdl.handle.net/100/2502
ISBN: 978-1-4244-2690-4
Appears in Collections:Proceedings papers

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