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- W2061409654 abstract "Synthetic aperture radar (SAR) is an active remote sensing sensor. It is a coherent imaging system, the speckle is itsinherent default, which affects badly the interpretation and recognition of the SAR targets. Conventional methods ofremoving the speckle is studied usually in real SAR image, which reduce the edges of the images at the same time asdepressing the speckle. Morever, Conventional methods lost the information about images phase. Removing the speckleand enhancing the target and edge simultaneously are still a puzzle. To suppress the spckle and enhance the targets andthe edges simultaneously, a half-quadratic variational regularization method in complex SAR image is presented, whichis based on the prior knowledge of the targets and the edge. Due to the non-quadratic and non- convex quality and thecomplexity of the cost function, a half-quadratic variational regularization variation is used to construct a new costfunction,which is solved by alternate optimization. In the proposed scheme, the construction of the model, the solutionof the model and the selection of the model peremeters are studied carefully. In the end, we validate the method using thereal 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." @default.
- W2061409654 created "2016-06-24" @default.
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- W2061409654 date "2008-12-28" @default.
- W2061409654 modified "2023-09-23" @default.
- W2061409654 title "Half-quadratic variational regularization methods for speckle-suppression and edge-enhancement in SAR complex image" @default.
- W2061409654 doi "https://doi.org/10.1117/12.814925" @default.
- W2061409654 hasPublicationYear "2008" @default.
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