首页> 外文会议>Conference on Detection and Remediation Technologies for Mines and Minelike Targets VII Pt.1, Apr 1-5, 2002, Orlando, USA >Statistical analysis of polarization responses for landmines in various solar angles and backgrounds using airborne laser imagery
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Statistical analysis of polarization responses for landmines in various solar angles and backgrounds using airborne laser imagery

机译:机载激光成像技术对不同太阳角度和背景下地雷极化响应的统计分析

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摘要

This paper establishes the class separability of mines in various backgrounds for the low sun angle using Dec. 2000 and June 2001 airborne 808nm laser imagery. Specifically, this paper provides the polarization distributions of mines and background types based on four statistics: in-plane (P); cross-plane (S), P-S, and degree of polarization (DoP = (P-S)/(P+S)). This study provides a first look at which polarization can benefit the performance for airborne minefield detection and under which background conditions for a particular time of the year (i.e. low sun angle scenarios). This study presenting the polarization class distribution provides a good basis for the algorithm development effort for an automatic mine/minefield detection system using 808nm laser imagery. This study used two subsets from the December 2000 and June 2001 airborne data collections collected with the Sci-Tech breadboard 808 nm laser. To accurately represent the distribution of the mines and background, there are 24,000 mine and 144,000 background pixels were manually chosen to ensure the "perfect" registration between pixels located in P and S images for the same mine or background.
机译:本文利用2000年12月和2001年6月的机载808nm激光成像技术,建立了低太阳角下各种背景下地雷的类别可分离性。具体而言,本文基于四个统计数据提供了地雷的极化分布和背景类型:横断面(S),P-S和极化度(DoP =(P-S)/(P + S))。这项研究首先了解了哪种极化可以有益于机载雷场探测性能,以及在一年中的特定时间(即低太阳角场景)的背景条件下。这项研究提出了极化类别分布,为使用808nm激光图像的自动雷场/雷场检测系统的算法开发工作提供了良好的基础。这项研究使用了2000年12月和2001年6月通过Sci-Tech面包板808 nm激光收集的两个机载数据集的子集。为了准确表示地雷和背景的分布,手动选择了24,000个地雷,并手动选择了144,000个背景像素,以确保位于相同地雷或背景的P和S图像中的像素之间的“完美”配准。

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