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
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;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5650029
