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中文摘要：
本文将分形Hǒlder指数和信号分离相结合，利用独立成分分析技术（ICA，Independent Component Analysis），实现了海杂波SAR图的散斑抑制和点目标检测。首先，计算点态Hǒlder指数图，并提出二值模糊方法对其处理；接着使用ICA技术得到该图的基图像和独立成分；提出空间分离法，对独立成分进行分离，同时对基图进行对应分类，获得非噪声和噪声两个空间。最后在非噪声空间上重构图像。实验部分，将该算法与传统算法进行对比，证实了该算法的有效性和优越性。
英文摘要：
A novel approach is proposed for point target detection in sea clutter Synthetic Aperture Radar （SAR） image. Firstly, pointwise Hǒlder exponent of the original image is computed and proposed binary-fuzzy processing is applied on this HOlder image for target enhancement, and then, the processed image data is used as input data to Independent Component Analysis （ICA）. After convergence, based on the space separation theory we develop, original space of modified Hǒlder image is separated into two subspaces called clean-space and noise-space consisting of respective independent components and corresponding basis images. Finally, the detection result is obtained with construction on the ‘clean＇ subspace and clear extraction is obtained with simple morphological operation. As the results show, the proposed method is validated and point target is detected more efficiently compared with conventional methods.
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