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Investigating Clutter Reduction for Unmanned Systems Applications using Imaging Polarimetry

机译:使用成像极化技术研究无人系统应用中的杂波减少

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摘要

The proliferation of unmanned systems in recent years has sparked increased interest in multiple areas of research for on-board image processing including autonomous navigation, surveillance, detection, and tracking to name a few. For these applications, techniques for reducing scene clutter provide an increased level of robustness for autonomous systems and reduced operator burden for tele-operated systems. Because imaging polarimetry frequently provides complementary information to the standard radiometric image, it is anticipated that this technology is well suited to provide a significant reduction in scene clutter. In this paper, the authors investigate the use of imaging polarimetry under a number of representative scenarios to assess the utility of this technology for unmanned system applications.
机译:近年来,无人系统的激增引起了人们对车载图像处理的多个研究领域的兴趣,这些领域包括自主导航,监视,检测和跟踪等。对于这些应用,用于减少场景混乱的技术为自治系统提供了更高级别的健壮性,并为远程操作系统提供了减少的操作员负担。因为成像偏振法经常向标准辐射图像提供补充信息,所以可以预料该技术非常适合于显着减少场景混乱。在本文中,作者研究了在许多代表性情况下成像极化仪的使用,以评估该技术在无人系统应用中的实用性。

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