基于方差分析的运动目标时空自适应检测器

J. Cheung, G.J. Genello, M. Wicks
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引用次数: 0

摘要

提出了一种基于方差分析的运动目标检测方法。这种新的检测器是基于特征和光流技术的推广。该算法在增强对距离扩展/多普勒扩展目标的检测和抑制背景干扰方面效果显著,可应用于合成孔径雷达和高分辨率毫米波成像传感器,以及光学和红外相机。在零假设及其替代假设下估计实现所需的统计量。通过对实测数据的分析,证明了该方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A space-time adaptive detector for moving targets based on the analysis of variance
We present a new methodology for detecting moving objects based on the analysis of variance. This new detector is a generalization of feature based and optical-flow based techniques. Our algorithm is effective in enhancing the detection of range-spread/Doppler-spread targets and in suppressing background interference, with application to synthetic aperture radar and high resolution millimeter wave imaging sensors, in addition to optical and infrared cameras. The statistics necessary for implementation are estimated under both the null hypothesis and its alternative. The performance is demonstrated via analysis of measured data.
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