5 August 2015 Camouflage target reconnaissance based on hyperspectral imaging technology
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Abstract
Efficient camouflaged target reconnaissance technology makes great influence on modern warfare. Hyperspectral images can provide large spectral range and high spectral resolution, which are invaluable in discriminating between camouflaged targets and backgrounds. Hyperspectral target detection and classification technology are utilized to achieve single class and multi-class camouflaged targets reconnaissance respectively. Constrained energy minimization (CEM), a widely used algorithm in hyperspectral target detection, is employed to achieve one class camouflage target reconnaissance. Then, support vector machine (SVM), a classification method, is proposed to achieve multi-class camouflage target reconnaissance. Experiments have been conducted to demonstrate the efficiency of the proposed method.
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Wenshen Hua, Wenshen Hua, Tong Guo, Tong Guo, Xun Liu, Xun Liu, } "Camouflage target reconnaissance based on hyperspectral imaging technology", Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 962217 (5 August 2015); doi: 10.1117/12.2193287; https://doi.org/10.1117/12.2193287
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