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首页> 外文会议>Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII pt.1 >Multispectral change detection for finding small targets using MANTIS-3T data
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Multispectral change detection for finding small targets using MANTIS-3T data

机译：使用MANTIS-3T数据进行多光谱变化检测以发现小目标

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摘要

PAR Government Systems Corporation (PAR) has deployed their turret mounted Mission Adaptable Narrowband Tunable Imaging System (MANTIS-3T) and collected nearly 300 GBytes of multispectral data over mine-like targets in a desert environment in support of mine counter measures (MCM), intelligence, surveillance, and reconnaissance study applications. Multispectral processing algorithms such as RX and SEM have demonstrated success with hyperspectral data when searching for large targets. As target size decreases relative to sensor resolution, false alarms increase and performance declines. Detection of recently placed mine-like objects, however, can be enhanced by adding a temporal dimension to the spectral processing. An automated color-to-color and frame-to-frame registration algorithm has been developed as a first, and required, step to an automated multispectral change detection algorithm. The automated registration algorithms are used to process multispectral desert data collected with MANTIS-3T. Performance results and processing difficulties are reported.
机译：PAR政府系统公司（PAR）已部署其炮塔安装的任务适应性窄带可调成像系统（MANTIS-3T），并在沙漠环境中的类地雷目标上收集了近300 GBytes的多光谱数据，以支持防雷对策（MCM），情报，监视和侦察研究应用程序。当搜索大目标时，诸如RX和SEM等多光谱处理算法已证明在高光谱数据方面取得了成功。当目标尺寸相对于传感器分辨率减小时，错误警报会增加，性能也会下降。但是，可以通过在光谱处理中添加时间维度来增强对最近放置的类地雷物体的检测。作为自动多光谱变化检测算法的第一步，也是必需的一步，开发了一种自动的颜色到颜色和帧到帧配准算法。自动配准算法用于处理MANTIS-3T收集的多光谱沙漠数据。报告了性能结果和加工困难。

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