Speckle suppression in synthetic aperture radar ocean internal solitary wave images with curvelet transform

ZHA Guozhen; HE Qingyou; GUAN Changlong; SUN Jian; HE Mingxia

doi:10.1007/s13131-016-0929-3

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Article Navigation > Acta Oceanologica Sinica > 2016 > 35(9): 13-21

ZHA Guozhen, HE Qingyou, GUAN Changlong, SUN Jian, HE Mingxia. Speckle suppression in synthetic aperture radar ocean internal solitary wave images with curvelet transform[J]. Acta Oceanologica Sinica, 2016, 35(9): 13-21. doi: 10.1007/s13131-016-0929-3

Citation:

ZHA Guozhen, HE Qingyou, GUAN Changlong, SUN Jian, HE Mingxia. Speckle suppression in synthetic aperture radar ocean internal solitary wave images with curvelet transform[J]. Acta Oceanologica Sinica, 2016, 35(9): 13-21. doi: 10.1007/s13131-016-0929-3

Citation:

ZHA Guozhen, HE Qingyou, GUAN Changlong, SUN Jian, HE Mingxia. Speckle suppression in synthetic aperture radar ocean internal solitary wave images with curvelet transform[J]. Acta Oceanologica Sinica, 2016, 35(9): 13-21. doi: 10.1007/s13131-016-0929-3

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Speckle suppression in synthetic aperture radar ocean internal solitary wave images with curvelet transform

doi: 10.1007/s13131-016-0929-3

1.
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China;Physical Oceanography Laboratory, Ocean University of China, Qingdao 266100, China
3.
College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China;State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
4.
Ocean Remote Sensing Institute, Ocean University of China, Qingdao 266100, China

Received Date: 2015-06-21
Rev Recd Date: 2016-01-22

Abstract

Abstract

This paper proposes a speckle-suppression method for ocean internal solitary wave (ISW) synthetic aperture radar (SAR) images by using the curvelet transform. The band-shaped signatures of ocean ISWs in SAR images show obvious scale and directional characteristics. The curvelet transform possesses a very high scale and directional sensitivity. Therefore, the curvelet transform is very efficient in analyzing wave signals in SAR images. A noisy ocean ISW SAR image can be decomposed at different scales, directions, and positions using the curvelet transform. The information of the ISWs is centralized in the curvelet coefficients of certain directions under certain scales, whereas the speckle noise is distributed in every scale and direction. By manipulating the curvelet coefficients, the signals of the ISWs can be extracted from the noisy SAR image. Finally, the speckle noise is suppressed and the ISW feature is enhanced by adding the signals of the ISWs back to the original SAR image. Experiments demonstrate the effectiveness of this method.
- curvelet transform,
- internal solitary wave,
- remote sensing,
- speckle noise,
- synthetic aperture radar

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References(43)

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