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波段选择和目标估计误差对高光谱成像中匹配滤波器性能的影响。

Influence of band selection and target estimation error on the performance of the matched filter in hyperspectral imaging.

作者信息

Minet Jean, Taboury Jean, Goudail François, Péalat Michel, Roux Nicolas, Lonnoy Jacques, Ferrec Yann

机构信息

Laboratoire Charles Fabry, Institut d'Optique, University Paris-Sud, CNRS, Palaiseau, France.

出版信息

Appl Opt. 2011 Aug 1;50(22):4276-85. doi: 10.1364/AO.50.004276.

DOI:10.1364/AO.50.004276
PMID:21833100
Abstract

The matched filter is a widely used detector in hyperspectral detection applications because of its simplicity and its efficiency in practical situations. We propose to estimate its performance with respect to the number of spectral bands. These spectral bands are selected thanks to a genetic algorithm in order to optimize the contrast between the target and the background in the detection plane. Our band selection method can be used to optimize not only the position but also the linewidth of the spectral bands. The optimized contrast always increases with the number of selected bands. However, in practical situations, the target spectral signature has to be estimated from the image. We show that in the presence of estimation error, the maximum number of bands may not always be the best choice in terms of detection performance.

摘要

匹配滤波器因其简单性和在实际情况下的效率,是高光谱检测应用中广泛使用的探测器。我们建议评估其在光谱带数量方面的性能。这些光谱带通过遗传算法进行选择,以便在检测平面中优化目标与背景之间的对比度。我们的波段选择方法不仅可用于优化光谱带的位置,还可用于优化其线宽。优化后的对比度总是随着所选波段数量的增加而增加。然而,在实际情况中,目标光谱特征必须从图像中估计出来。我们表明,在存在估计误差的情况下,就检测性能而言,波段的最大数量可能并不总是最佳选择。

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