DocumentCode :
2679677
Title :
Signatures of polarimetric parameters and their implications on land cover classification
Author :
Skriver, Henning
Author_Institution :
Tech. Univ. of Denmark, Lyngby
fYear :
2007
fDate :
23-28 July 2007
Firstpage :
4195
Lastpage :
4198
Abstract :
Knowledge-based or rule-based classification schemes provide robust classification of normally a few major classes. In order to determine optimum polarimetric parameters for such classification schemes, a study has been performed, where the separability between different sets of major classes using many different polarimetric parameters has been investigated using airborne,C- and L-band polarimetric SAR data.
Keywords :
image classification; knowledge based systems; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation; C-band polarimetric SAR data; L-band polarimetric SAR data; airborne polarimetric SAR data; knowledge-based classification scheme; land cover classification; polarimetric parameters; rule-based classification scheme; synthetic aperture radar; Backscatter; Crops; L-band; Laser radar; Optical scattering; Radar polarimetry; Radar remote sensing; Radar scattering; Remote monitoring; Robustness; classification; knowledge-based classification; polarimetric SAR; signatures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
Type :
conf
DOI :
10.1109/IGARSS.2007.4423775
Filename :
4423775
Link To Document :
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