Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target segmentation  

作　　者：Xiao YANG Chun YIN Sara DADRAS Guangyu LEI Xutong TAN Gen QIU 

机构地区：[1]School of Automation Engineering,University of Electronic Science and Technology of China,Chengdu,611731,China [2]Electrical and Computer Engineering Department,Utah State University,Logan,UT,84321,USA

出　　处：《Frontiers of Information Technology & Electronic Engineering》2022年第4期571-586,共16页信息与电子工程前沿（英文版）

基　　金：Project supported by the National Natural Science Foundation of China(No.61873305);the Applied Basic Research Program of Sichuan Province,China(Nos.2018JY0410and 2019YJ0199)。

摘　　要：To detect spacecraft damage caused by hypervelocity impact,we propose an advanced spacecraft defect extraction algorithm based on infrared imaging detection.The Gaussian mixture model(GMM)is used to classify the temperature change characteristics in the sampled data of the infrared video stream and reconstruct the image to obtain the infrared reconstructed image(IRRI)reflecting the defect characteristics.The designed segmentation objective function is used to ensure the effectiveness of image segmentation results for noise removal and detail preservation,while taking into account the complexity of IRRI(that is,the required trade-offs are different).A multi-objective optimization algorithm is introduced to achieve balance between detail preservation and noise removal,and a multi-objective evolutionary algorithm based on decomposition(MOEA/D)is used for optimization to ensure damage segmentation accuracy.Experimental results verify the effectiveness of the proposed algorithm.

关 键 词：Hypervelocity impact damage Defect detection Gaussian mixture model Image segmentation 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] V467[自动化与计算机技术—计算机科学与技术]