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

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 arc consistent with those from expert evaluation, and thus its feasibility and rationality arc verified.