Ship Detection for Complex Background SAR Images Based on a Multiscale Variance Weighted Image Entropy Method
Ship Detection for Complex Background SAR Images Based on a Multiscale Variance Weighted Image Entropy Method
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DOI：
10.1109/lgrs.2016.2633548
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发表时间：
2017-02-01
影响因子：
4.8
通讯作者：
Chen, Cuixia
中科院分区：
文献类型：
--
作者：
Wang, Xiaolong;Chen, Cuixia
从复杂背景的合成孔径雷达（SAR）图像中检测船舶是一项具有挑战性的任务。由于局部杂波的变化和低信杂比，大多数传统的方法不能得到令人满意的结果。本文研究了一种有效的复杂背景下舰船目标检测方法。该方法利用方差加权信息熵（VWIE）方法来度量目标与邻域的局部相异性。为了增强目标，在局部VWIE计算中采用了基于多尺度局部对比度测度的最优窗口选择机制。实验结果表明，该方法能够有效地从复杂背景SAR图像中检测出舰船目标。
Ship detection from complex background synthetic aperture radar (SAR) images is a challenging task. Due to varying local clutter and low signal-to-clutter ratio, the most conventional methods fail to yield satisfactory results. An effective ship detection approach for complex background is developed in this letter. The approach measures the local dissimilarity between target and its neighborhood by using the variance weighted information entropy (VWIE) method. In order to enhance targets, an optimal window selection mechanism based on the multiscale local contrast measure is used in the local VWIE calculation. Experiments indicate that the proposed approach can effectively detect ship targets from the complex background SAR images by using the optimal selection mechanism.