A New Image Fusion Method for Ship Target Enhancement in Spaceborne and Airborne SAR Collaboration

Xueqian Wang, D. Zhu, Gang Li, Xiao-Ping Zhang
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Abstract

In this paper, we investigate the fusion of spaceborne synthetic aperture radar (SAR) and airborne SAR images and its application to ship target enhancement. In this paper, we propose a new target proposal and clutter copula (TPCC)-based image fusion method for the collaboration of spaceborne and airborne SARs. TPCC enhances the common ship target areas in spaceborne and airborne SAR images via the intersection of target proposals and suppresses the clutter areas by establishing the joint distribution of clutter in the spaceborne and airborne SAR images based on the copula theory. Compared with other commonly used image fusion methods, the target dependence and clutter dependence in the spaceborne and airborne SAR images are newly exploited in TPCC. We demonstrate the superiority of TPCC in terms of target-to-clutter ratios (TCRs) by using composite images combining Gaofen-3 satellite and unmanned aerial vehicle (UAV) SAR images.
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星载与机载协同SAR中舰船目标增强的图像融合新方法
本文研究了星载合成孔径雷达(SAR)与机载SAR图像的融合及其在舰船目标增强中的应用。本文提出了一种基于目标建议和杂波耦合(TPCC)的星载sar与机载sar协同图像融合方法。TPCC通过目标建议的交叉来增强星载和机载SAR图像中常见的舰船目标区域,并基于copula理论建立星载和机载SAR图像中杂波的联合分布来抑制杂波区域。与其他常用的图像融合方法相比,TPCC新开发了星载和机载SAR图像的目标依赖性和杂波依赖性。利用高分三号卫星与无人机(UAV) SAR图像的合成图像,验证了TPCC在目标杂波比(tcr)方面的优势。
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