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

Hao Fang; Aihua Li; Tao Wang; Hongwei Chang

doi:10.3788/LOP56.051003

Laser & Optoelectronics Progress, Volume. 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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Figures & Tables(7)

Fig. 1. Positional relationship between camouflage target and 9-fold area background

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Fig. 2. Index system for hyperspectral camouflage effect evaluation

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Fig. 3. Detection images of hyperspectral camouflage effect. (a) Target A; (b) target B; (c) target C

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Table 1. Relative proximity of each feature band of camouflage targets

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Table 1. Relative proximity of each feature band of camouflage targets

Camouflagetarget		1st featureband	2nd featureband	3rd featureband	4th featureband	5th featureband	6th featureband	7th featureband
A	A₁	0.5948	0.5020	0.4584	0.4389	0.5222	0.4671	0.5160
	A₂	0.5471	0.5561	0.5309	0.4435	0.4173	0.4395	0.5037
	A₃	0.4052	0.4868	0.4112	0.5146	0.4944	0.5764	0.4653
	A₄	0.4829	0.5337	0.4114	0.4237	0.4258	0.5553	0.4204
B	A₁	0.5052	0.4414	0.5028	0.4941	0.4758	0.46487	0.5069
	A₂	0.5773	0.5245	0.4788	0.4992	0.4890	0.5335	0.5236
	A₃	0.4284	0.5035	0.4250	0.4535	0.5211	0.4477	0.4662
	A₄	0.4654	0.4900	0.4703	0.5057	0.5193	0.4332	0.4566
C	A₁	0.4581	0.5088	0.4577	0.5132	0.5198	0.4453	0.4129
	A₂	0.4682	0.5234	0.5640	0.4586	0.4568	0.5118	0.4910
	A₃	0.4106	0.4577	0.4608	0.4346	0.4809	0.4576	0.4762
	A₄	0.4614	0.5285	0.4951	0.4585	0.4406	0.4762	0.4964

Table 2. Descending order of scheme sets in each feature band of camouflage targets
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Table 2. Descending order of scheme sets in each feature band of camouflage targets
Camouflagetarget 1st featureband 2nd featureband 3rd featureband 4th featureband 5th featureband 6th featureband 7th featureband
A 1 2 2 3 1 3 1
B 2 2 1 4 3 2 2
C 2 4 2 1 1 2 4

Table 3. Hyperspectral camouflage effect evaluation levels for different targets
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Table 3. Hyperspectral camouflage effect evaluation levels for different targets
Different result A B C
Result forweighted sum 1.5576 2.0456 2.5159
Evaluation level Level II Level II Level III

Table 4. Comparison of evaluation results by different algorithms
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Table 4. Comparison of evaluation results by different algorithms
Evaluation result A B C
Proposed method Level II Level II Level III
TOPSIS Level I Level II Level II
Expert result Level II Level II Level III

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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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Paper Information

Category: Image Processing

Received: Aug. 7, 2018

Accepted: Sep. 21, 2018

Published Online: Jul. 31, 2019

The Author Email: Hao Fang (fanghao_502@163.com)

DOI:10.3788/LOP56.051003

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Relative proximity of each feature band of camouflage targets

Table 1. Relative proximity of each feature band of camouflage targets

Table 2. Descending order of scheme sets in each feature band of camouflage targets

Table 2. Descending order of scheme sets in each feature band of camouflage targets

Table 3. Hyperspectral camouflage effect evaluation levels for different targets

Table 3. Hyperspectral camouflage effect evaluation levels for different targets

Table 4. Comparison of evaluation results by different algorithms

Table 4. Comparison of evaluation results by different algorithms