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14 February 2020 Similarity evaluation technology of spectral imaging simulation based on analytic hierarchy process model
Hongquan Yun, Bochuan Zhang, Miaomiao Zhang, Wen Ju, Qiheng Zhang
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Proceedings Volume 11428, MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis; 114280U (2020) https://doi.org/10.1117/12.2551626
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China
Abstract
This paper is mainly aimed at the development requirement of infrared seeker precision guided weapon system. The infrared sensor of seeker is modeled and simulated, and the image sequence is output. The imaging simulation quality of infrared seeker sensor and the adaptability of terminal guidance algorithm based on simulation real-time graph are evaluated from the perspectives of multi-granularity similarity parameter index system construction, multi-saliency fusion feature consistency and bio-visual feature similarity evaluation. At the same time, the analytic hierarchy process (AHP) model is applied to the process of similarity evaluation to solve the comprehensive decision-making problem in multi-index similarity evaluation, and to evaluate the performance of the simulation system from the perspective of the combination of human-computer intelligence, so as to guide the improvement of the simulation system. Based on the above research results, a set of mature and reliable simulation similarity evaluation software is formed. The research results are of great significance to the development and standardization of the whole infrared simulation technology.
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Hongquan Yun, Bochuan Zhang, Miaomiao Zhang, Wen Ju, and Qiheng Zhang "Similarity evaluation technology of spectral imaging simulation based on analytic hierarchy process model", Proc. SPIE 11428, MIPPR 2019: Multispectral Image Acquisition, Processing, and Analysis, 114280U (14 February 2020); https://doi.org/10.1117/12.2551626
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KEYWORDS
Image fusion
Computer simulations
Image analysis
Image segmentation
Process modeling
Image quality
Image processing
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