Title :
Signatures of polarimetric parameters and their implications on land cover classification
Author :
Skriver, Henning
Author_Institution :
Tech. Univ. of Denmark, Lyngby
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;
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
DOI :
10.1109/IGARSS.2007.4423775