Ocean features separation from multi-band polarimetric SAR imagery

Qingmei Xiao; Weigen Huang; Jingsong Yang; Bin Fu; Peng Chen

doi:10.1117/12.748799

15 November 2007 Ocean features separation from multi-band polarimetric SAR imagery

Qingmei Xiao, Weigen Huang, Jingsong Yang, Bin Fu, Peng Chen

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67870U (2007) https://doi.org/10.1117/12.748799
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

Citation Download Citation

Qingmei Xiao, Weigen Huang, Jingsong Yang, Bin Fu, and Peng Chen "Ocean features separation from multi-band polarimetric SAR imagery", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870U (15 November 2007); https://doi.org/10.1117/12.748799

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KEYWORDS

Synthetic aperture radar

Feature extraction

Polarimetry

Polarization

Signal to noise ratio

L band

Oceanography

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