Abstract
As a highly concerned hyperspectral image target detection field, it has important research value and application prospects both in military and civil. Starting with the working principle and system structure of spectral imager based on AOTF, the polarization information pretreatment, judgment of connected area and contour extraction are added to the classical algorithm of CEM target detection, which provides a more reliable judgment basis for target detection. Finally, the target detection experiments on spectral images of metal objects are carried out. The results show that the detection efficiency of the proposed algorithm is significantly improved, and it is more suitable for detecting targets whose spectral characteristics are not obvious.
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