Researching | Synthetic Evaluation Method of Hyperspectral Camouflage Effect Based on Intuitionistic Fuzzy Decision

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 5 >Page 051003 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 5, 051003 (2019)

Synthetic Evaluation Method of Hyperspectral Camouflage Effect Based on Intuitionistic Fuzzy Decision

Hao Fang^*, Aihua Li, Tao Wang, and Hongwei Chang

Author Affiliations

Institute of War Support, Rocket Force University of Engineering, Xi'an, Shaanxi 710025, China

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DOI: 10.3788/LOP56.051003 Cite this Article Set citation alerts

Hao Fang, Aihua Li, Tao Wang, Hongwei Chang. Synthetic Evaluation Method of Hyperspectral Camouflage Effect Based on Intuitionistic Fuzzy Decision[J]. Laser & Optoelectronics Progress, 2019, 56(5): 051003 Copy Citation Text

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References

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[2] Shen H, Cao G H, Ning Q et al. Analysis of challenges and opportunities for camouflage in national defense engineering by remote sensing technologies[J]. Geological Survey of China, 4, 70-73(2017).

[3] Ma Y P, Zhang W, Liu D X. Characteristics of hyperspectral reconnaissance and threat to ground military targets[J]. Aerospace Shanghai, 29, 37-40,59(2012).

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[6] Liu Z G, Lu Y L, Wei Y W. Supervised method for hyperspectral image camouflage target detection[J]. Infrared and Laser Engineering, 42, 3076-3081(2013).

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[8] Liu X, Hua W S, Yang J. Camouflage effect evaluation based on hyperspectral detecting technology[J]. Infrared and Laser Engineering, 43, 3228-3232(2014).

[9] Yan W J, Wang T Z. Research on testing method for camouflage of ground target in high spectral imaging[J]. Mechanical & Electrical Engineering Magazine, 24, 4-6(2007).

[10] Guo T, Hua W S, Liu X et al. A comprehensive evaluation method for the optical camouflage effect based on hyperspectra[J]. Laser & Optoelectronics Progress, 53, 101002(2016).

[11] Hua W S, Yang J, Liu X et al. Camouflage assessment based on hyperspectral characteristics[J]. Journal of Applied Optics, 34, 964-967(2013).

[12] Zhang Y J, Ma P J, Su X H et al. Multi-attribute decision making with uncertain attribute weight information in the framework of interval-valued intuitionistic fuzzy set[J]. Acta Automatica Sinica, 38, 220-228(2012).

[13] Liu Z M, Hu B R, Wu W J et al. Spectral imaging of green coating camouflage under hyperspectral detection[J]. Acta Photonica Sinica, 38, 885-890(2009).

[14] Kong X B, Shu N, Tao J B et al. A new spectral similarity measure based on multiple features integration[J]. Spectroscopy and Spectral Analysis, 31, 2166-2170(2011).

[15] Toet A. Structural similarity determines search time and detection probability[J]. Infrared Physics & Technology, 53, 464-468(2010). http://www.sciencedirect.com/science/article/pii/S1350449510000745

[16] Chang H H, Zhang J Q. Detection probability and detection time using clutter metrics[J]. Infrared Physics & Technology, 51, 83-90(2007). http://www.sciencedirect.com/science/article/pii/S1350449507000606

[17] Gu H, Song B F. Study on effectiveness evaluation of weapon systems based on grey relational analysis and TOPSIS[J]. Journal of Systems Engineering and Electronics, 20, 106-111(2009). http://ieeexplore.ieee.org/document/6074622/

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Hao Fang, Aihua Li, Tao Wang, Hongwei Chang. Synthetic Evaluation Method of Hyperspectral Camouflage Effect Based on Intuitionistic Fuzzy Decision[J]. Laser & Optoelectronics Progress, 2019, 56(5): 051003

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