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Proceedings Paper

Camouflage target reconnaissance based on hyperspectral imaging technology
Author(s): Wenshen Hua; Tong Guo; Xun Liu
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Paper 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.

Paper Details

Date Published: 5 August 2015
PDF: 7 pages
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
Show Author Affiliations
Wenshen Hua, Mechanical Engineering College (China)
Tong Guo, Mechanical Engineering College (China)
Xun Liu, Mechanical Engineering College (China)


Published in SPIE Proceedings Vol. 9622:
2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Guangming Shi; Xuelong Li; Bormin Huang, Editor(s)

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