作者: Christopher Steliman , Richard Priest , Geoffrey Hazel , Alan Schaum , Rulon Mayer
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摘要: Abstract : The detection of low signature or camouflaged targets in cluttered backgrounds is a crucial problem tactical reconnaissance. In the past few years, imaging spectral and polarimetric sensors have been evaluated for this application. Although these separately generated promising results, each modality alone appears to not achieved desired level target detection. Fusion data from multiple sensing modalities may potentially improve performance acceptable levels. case key issue correlation spatial location false within polarmetric imaging. This paper presents study set consisting near simultaneous images recorded colocated on North Oscura Peak White Sands test range. overlooked scene composed natural background, military vehicles, camouflage material. operated visible band with nearly equal, field view. RX anomaly algorithm was applied obtain two dimensional map will analyze image fusion. Background segmentation hyperspectral polarization sets also examined.