Camouflage target reconnaissance based on hyperspectral imaging technology

Wenshen Hua; Tong Guo; Xun Liu

doi:10.1117/12.2193287

5 August 2015 Camouflage target reconnaissance based on hyperspectral imaging technology

Wenshen Hua, Tong Guo, Xun Liu

Proceedings Volume 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 962217 (2015) https://doi.org/10.1117/12.2193287
Event: International Conference on Optical Instruments and Technology 2015, 2015, Beijing, China

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.

Citation Download Citation

Wenshen Hua, Tong Guo, and 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); https://doi.org/10.1117/12.2193287

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