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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摘要
利用高光谱遥感图像对国防工程进行伪装效果评估,提出了一种基于直觉模糊决策的高光谱伪装效果综合评估方法,以及包括光谱泛相似测度、亮度对比度、视觉相似性测度和结构相似性测度等在内的高光谱伪装效果综合评价指标体系;建立了面向高光谱伪装效果评估的直觉模糊多属性决策模型;采用逼近理想解的排序算法进行模型决策,并提出了基于直觉模糊集Hamming距离的灰关联测度以提高方案之间的区分度。研究结果表明,利用所提方法得到的评估结果与专家评估结果一致,验证了其合理性和可行性。
In order to evaluate the camouflage effect of national defense engineering using hyperspectral remote sensing images,a comprehensive evaluation method for hyperspectral camouflage effect based on intuitionistic fuzzy decision is proposed.A comprehensive evaluation index system for hyperspectral camouflage effect is established,which including spectral pan-similarity measure,brightness contrast,visual similarity measure and structural similarity measure.A multi-attribute decision-making model based on intuitionist fuzzy sets is established for hyperspectral camouflage effect evaluation as well.The algorithm for order preference by similarity to an ideal solution is adopted for model decision,and a grey correlation measure based on Hamming distance is further proposed to improve the distinguishing ability between different alternatives.The research results show that the evaluation results obtained by the proposed method are consistent with those from expert evaluation,and thus its feasibility and rationality are verified.
In order to evaluate the camouflage effect of national defense engineering using hyperspectral remote sensing images,a comprehensive evaluation method for hyperspectral camouflage effect based on intuitionistic fuzzy decision is proposed.A comprehensive evaluation index system for hyperspectral camouflage effect is established,which including spectral pan-similarity measure,brightness contrast,visual similarity measure and structural similarity measure.A multi-attribute decision-making model based on intuitionist fuzzy sets is established for hyperspectral camouflage effect evaluation as well.The algorithm for order preference by similarity to an ideal solution is adopted for model decision,and a grey correlation measure based on Hamming distance is further proposed to improve the distinguishing ability between different alternatives.The research results show that the evaluation results obtained by the proposed method are consistent with those from expert evaluation,and thus its feasibility and rationality are verified.
引文
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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,2014,43(10):3228-3232.刘恂,华文深,杨佳.面向高光谱探测的伪装效果评价方法[J].红外与激光工程,2014,43(10):3228-3232.
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[11]Hua W S,Yang J,Liu X,et al.Camouflage assessment based on hyperspectral characteristics[J].Journal of Applied Optics,2013,34(6):964-967.华文深,杨佳,刘恂,等.基于高光谱特征的迷彩伪装评价[J].应用光学,2013,34(6):964-967.
[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,2012,38(2):220-228.张英俊,马培军,苏小红,等.属性权重不确定条件下的区间直觉模糊多属性决策[J].自动化学报,2012,38(2):220-228.
[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,2009,38(4):885-890.刘志明,胡碧茹,吴文健,等.高光谱探测绿色涂料伪装的光谱成像研究[J].光子学报,2009,38(4):885-890.
[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,2011,31(8):2166-2170.孔祥兵,舒宁,陶建斌,等.一种基于多特征融合的新型光谱相似性测度[J].光谱学与光谱分析,2011,31(8):2166-2170.
[15]Toet A.Structural similarity determines search time and detection probability[J].Infrared Physics&Technology,2010,53(6):464-468.
[16]Chang H H,Zhang J Q.Detection probability and detection time using clutter metrics[J].Infrared Physics&Technology,2007,51(2):83-90.
[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,2009,20(1):106-111.
[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,2017,4(3):70-73.沈泓,曹国侯,宁强,等.浅析遥感技术给国防工程伪装带来的挑战与机遇[J].中国地质调查,2017,4(3):70-73.
[3]Ma Y P,Zhang W,Liu D X.Characteristics of hyperspectral reconnaissance and threat to ground military targets[J].Aerospace Shanghai,2012,29(1):37-40,59.麻永平,张炜,刘东旭.高光谱侦察技术特点及其对地面军事目标威胁分析[J].上海航天,2012,29(1):37-40,59.
[4]Wang X L,Wang F,Liu X,et al.Hyperspectral polarization characteristics of typical camouflage target under desert background[J].Laser&Optoelectronics Progress,2018,55(5):051101.王小龙,王峰,刘晓,等.荒漠背景下典型伪装目标的高光谱偏振特性[J].激光与光电子学进展,2018,55(5):051101.
[5]Yang J,Hua W S,Liu X,et al.Analysis on the hyperspectral characteristics of pattern painting camouflage[J].Optical Instruments,2013,35(5):27-31.杨佳,华文深,刘恂,等.迷彩伪装的高光谱特性分析[J].光学仪器,2013,35(5):27-31.
[6]Liu Z G,Lu Y L,Wei Y W.Supervised method for hyperspectral image camouflage target detection[J].Infrared and Laser Engineering,2013,42(11):3076-3081.刘志刚,卢云龙,魏一苇.有监督的高光谱图像伪装目标检测方法[J].红外与激光工程,2013,42(11):3076-3081.
[7]Fang H,Li A H,Pan Y L,et al.The effect evaluation of infrared camouflage simulation system based on visual similarity[J].Acta Armamentarii,2017,38(2):351-357.方浩,李艾华,潘玉龙,等.面向视觉相似的红外伪装仿真效果评估[J].兵工学报,2017,38(2):351-357.
[8]Liu X,Hua W S,Yang J.Camouflage effect evaluation based on hyperspectral detecting technology[J].Infrared and Laser Engineering,2014,43(10):3228-3232.刘恂,华文深,杨佳.面向高光谱探测的伪装效果评价方法[J].红外与激光工程,2014,43(10):3228-3232.
[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,2007,24(1):4-6.颜文俊,王同招.高光谱遥感影像地面伪装目标检测方法的研究[J].机电工程,2007,24(1):4-6.
[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,2016,53(10):101002.郭彤,华文深,刘恂,等.一种基于高光谱的光学伪装效果综合评价方法[J].激光与光电子学进展,2016,53(10):101002.
[11]Hua W S,Yang J,Liu X,et al.Camouflage assessment based on hyperspectral characteristics[J].Journal of Applied Optics,2013,34(6):964-967.华文深,杨佳,刘恂,等.基于高光谱特征的迷彩伪装评价[J].应用光学,2013,34(6):964-967.
[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,2012,38(2):220-228.张英俊,马培军,苏小红,等.属性权重不确定条件下的区间直觉模糊多属性决策[J].自动化学报,2012,38(2):220-228.
[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,2009,38(4):885-890.刘志明,胡碧茹,吴文健,等.高光谱探测绿色涂料伪装的光谱成像研究[J].光子学报,2009,38(4):885-890.
[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,2011,31(8):2166-2170.孔祥兵,舒宁,陶建斌,等.一种基于多特征融合的新型光谱相似性测度[J].光谱学与光谱分析,2011,31(8):2166-2170.
[15]Toet A.Structural similarity determines search time and detection probability[J].Infrared Physics&Technology,2010,53(6):464-468.
[16]Chang H H,Zhang J Q.Detection probability and detection time using clutter metrics[J].Infrared Physics&Technology,2007,51(2):83-90.
[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,2009,20(1):106-111.