Mr. Xia Zhao Profile

Xia Zhao

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Proceedings Article | 29 December 2008 Paper

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

Xia Zhao, Guang-xin Wang

Proceedings Volume 7285, 728511 (2008) https://doi.org/10.1117/12.814925

KEYWORDS: Synthetic aperture radar, Speckle, Image enhancement, Coherence imaging, Target recognition, Active remote sensing, Active sensors, Remote sensing, Sensors, Imaging systems

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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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