Abstract:
The detection of concealed targets has always been a focus of military research. With the development of hyperspectral imaging technology, a new solution was provided for this field. By using the high spectral resolution of hyperspectral data, the spectral discrimination of concealed targets and backgrounds could be realized in some wavebands. A hyperspectral concealed target detection technology based on ACE algorithm was proposed, which made full use of the different characteristics of backgrounds and concealed targets in different bands. The spectral rearrangement technology and first-order differential technology were introduced to make the background spectrum oscillate and extract the targets. Compared with other algorithms, the proposed algorithm has higher extraction accuracy and lower false alarm rate, which achieves better detection effect of concealed targets.
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