基于直觉模糊决策的高光谱伪装效果综合评估方法 
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Synthetic Evaluation Method of Hyperspectral Camouflage Effect Based on Intuitionistic Fuzzy Decision
火箭军工程大学作战保障学院, 陕西 西安710025
图 & 表
图 1. 伪装目标与9倍面积背景间的位置关系
Fig. 1. Positional relationship between camouflage target and 9-fold area background
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图 2. 高光谱伪装效果评价指标体系
Fig. 2. Index system for hyperspectral camouflage effect evaluation
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图 3. 高光谱伪装效果检测图像。(a)目标A;(b)目标B;(c)目标C
Fig. 3. Detection images of hyperspectral camouflage effect. (a) Target A; (b) target B; (c) target C
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表 1伪装目标各特征波段的相对接近度
Table1. 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 |
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表 2方案集在伪装目标各特征波段的降序排列
Table2. 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 |
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表 3不同目标的高光谱伪装效果评估等级
Table3. 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 |
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表 4不同算法评估结果的对比
Table4. 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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方浩, 李艾华, 王涛, 常红伟. 基于直觉模糊决策的高光谱伪装效果综合评估方法[J]. 激光与光电子学进展, 2019, 56(5): 051003. 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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