Adaptive ship detection in SAR images using variance WIE-based method
Adaptive ship detection in SAR images using variance WIE-based method
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DOI：
10.1007/s11760-016-0879-4
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发表时间：
2016-10-01
影响因子：
2.3
通讯作者：
Chen, Cuixia
中科院分区：
文献类型：
--
作者：
Wang, Xiaolong;Chen, Cuixia
合成孔径雷达（SAR）图像中舰船目标的自动检测是一个重要而具有挑战性的问题。由于SAR图像中均匀区域和非均匀区域目标回波的不同性质，传统的检测算法无法自动检测出目标。为支持船舶自动监测，提出了一种基于方差加权信息熵的SAR图像船舶自适应检测框架。实验结果表明，该方法在不需要任何先验知识的情况下，能够有效地检测出各种环境下的舰船目标。
Automatic detection of ship targets from synthetic aperture radar (SAR) images is an important and challenging problem. Given the different nature of target returns in homogeneous and heterogeneous regions in SAR imagery, conventional detection algorithms fail to yield automatic and robust results. In support of automatic vessel monitoring, an adaptive detection framework designed for detecting ships from SAR imagery is proposed in this paper, and the variance weighted information entropy is introduced into the framework construction. Experimental results indicate that the proposed method can effectively detect the ship targets from various circumstances without any prior knowledge.