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Proceedings Paper

Ocean features separation from multi-band polarimetric SAR imagery
Author(s): Qingmei Xiao; Weigen Huang; Jingsong Yang; Bin Fu; Peng Chen
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Paper Abstract

Ocean features in synthetic aperture radar (SAR) images are usually complicated and make SAR images hard to understand. Because of lower signal-to-noise rate (SNR) in SAR imagery, it is much more difficult to separate different ocean features than to separate different land features. This paper presents a completely novel method to separate ocean features from multi-band polarimetric SAR imagery based on polarimetric signatures of ocean features. AIRSAR data from Jet Propulsion Laboratory (JPL), National Aeronautics and Space Administration (NASA) are used in the case studies and good results are achieved.

Paper Details

Date Published: 15 November 2007
PDF: 5 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870U (15 November 2007); doi: 10.1117/12.748799
Show Author Affiliations
Qingmei Xiao, State Key Lab. of Satellite Ocean Environment Dynamics (China)
State Oceanic Administration (China)
Weigen Huang, State Key Lab. of Satellite Ocean Environment Dynamics (China)
State Oceanic Administration (China)
Jingsong Yang, State Key Lab. of Satellite Ocean Environment Dynamics (China)
State Oceanic Administration (China)
Bin Fu, State Key Lab. of Satellite Ocean Environment Dynamics (China)
State Oceanic Administration (China)
Peng Chen, State Key Lab. of Satellite Ocean Environment Dynamics (China)
State Oceanic Administration (China)


Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing

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