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