Half-quadratic variational regularization methods for speckle-suppression and edge-enhancement in SAR complex image

Xia Zhao; Guang-xin Wang

doi:10.1117/12.814925

29 December 2008 Half-quadratic variational regularization methods for speckle-suppression and edge-enhancement in SAR complex image

Xia Zhao, Guang-xin Wang

Author Affiliations +

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 728511 (2008) https://doi.org/10.1117/12.814925
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

Synthetic aperture radar (SAR) is an active remote sensing sensor. It is a coherent imaging system, the speckle is its inherent default, which affects badly the interpretation and recognition of the SAR targets. Conventional methods of removing the speckle is studied usually in real SAR image, which reduce the edges of the images at the same time as depressing the speckle. Morever, Conventional methods lost the information about images phase. Removing the speckle and enhancing the target and edge simultaneously are still a puzzle. To suppress the spckle and enhance the targets and the edges simultaneously, a half-quadratic variational regularization method in complex SAR image is presented, which is based on the prior knowledge of the targets and the edge. Due to the non-quadratic and non- convex quality and the complexity of the cost function, a half-quadratic variational regularization variation is used to construct a new cost function,which is solved by alternate optimization. In the proposed scheme, the construction of the model, the solution of the model and the selection of the model peremeters are studied carefully. In the end, we validate the method using the real SAR data.Theoretic analysis and the experimental results illustrate the the feasibility of the proposed method. Further more, the proposed method can preserve the information about images phase.

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Xia Zhao and Guang-xin Wang "Half-quadratic variational regularization methods for speckle-suppression and edge-enhancement in SAR complex image", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728511 (29 December 2008); https://doi.org/10.1117/12.814925

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KEYWORDS

Synthetic aperture radar

Speckle

Image enhancement

Coherence imaging

Target recognition

Active remote sensing

Active sensors

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