Karlholm Jörgen, Renhorn Ingmar
Department of IR Systems, Swedish Defense Research Agency, Linköping.
Appl Opt. 2002 Nov 10;41(32):6786-95. doi: 10.1364/ao.41.006786.
A framework is proposed for the selection of wavelength bands for multispectral sensors by use of hyperspectral reference data. Using the results from the detection theory we derive a cost function that is minimized by a set of spectral bands optimal in terms of detection performance for discrimination between a class of small rare targets and clutter with known spectral distribution. The method may be used, e.g., in the design of multispectral infrared search and track and electro-optical missile warning sensors, where a low false-alarm rate and a high-detection probability for detection of small targets against a clutter background are of critical importance, but the required high frame rate prevents the use of hyperspectral sensors.
提出了一种利用高光谱参考数据选择多光谱传感器波段的框架。利用检测理论的结果，我们推导了一个代价函数，通过一组在检测性能方面最优的光谱波段使其最小化，这些波段用于区分一类小的稀有目标和具有已知光谱分布的杂波。该方法可用于，例如，多光谱红外搜索与跟踪以及光电导弹预警传感器的设计中，在这些应用中，在杂波背景下检测小目标时低虚警率和高检测概率至关重要，但所需的高帧率使得无法使用高光谱传感器。
