DocumentCode
3308805
Title
A scattering similarity based classification scheme for land applications of polarimetric SAR image
Author
Chen, Qiang ; Jiang, Yong-Mei ; Zhao, Ling-Jun ; Lu, Jun ; Hong, Ding
Author_Institution
Dept. of Electron. Sci. & Eng., NUDT, Changsha, China
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
1361
Lastpage
1364
Abstract
In this paper, a new classification scheme, which extracts the main scattering mechanism with target scattering similarities, is proposed. This approach not only leads to improved understanding of scattering mechanisms, but also has good performance in discriminating different scattering type of land cover. The NASA/JPL AIRSAR data is used for validating its effectiveness.
Keywords
image classification; radar imaging; radar polarimetry; synthetic aperture radar; terrain mapping; NASA/JPL AIRSAR data; image classification; land cover; polarimetric SAR image; scattering similarity; Backscatter; Entropy; NASA; Noise measurement; Scattering; Sea surface; Radar polarimetry; polarimetric SAR image classification; scattering similarity;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5650029
Filename
5650029
Link To Document