Research on evaluation of target thermal infrared camouflage effect based on PCA Super efficiency DEA

DOI:	10.11809/bqzbgcxb2024.05.038
Keywords:	camouflage effect evaluation; thermal infrared; image features; super efficiency DEA; PCA
Abstract:	In order to solve the problems such as excessive subjectivity and incomplete quantitative analysis in the process of target thermal infrared camouflage effect evaluation, four primary indicators such as temperature, texture, shape and statistics were comprehensively extracted by analyzing the target thermal infrared exposure symptoms, and multiple secondary indicators were subdivided to establish the thermal infrared camouflage effect evaluation index system. The super efficiency data envelopment analysis (DEA) model was introduced to fully evaluate the target thermal infrared camouflage effect. In view of the large correlation of the evaluation index set, the principal component analysis (PCA) method is used to reduce the dimension of the index data to obtain the mutually independent principal component factors. The super efficiency DEA model is used to calculate and sort, which solves the problem that some evaluation results are biased due to the overlapping of index information. The PCA super efficiency DEA model is used to evaluate the thermal infrared camouflage effect of targets in different time and background. The results show that the algorithm is more objective and accurate in evaluating the thermal infrared camouflage effect.
Issue:	Vol. 45 No. 5 (2024)
Published:	2024-05-31
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