典型文献
Variational Bayesian multi-sparse component extraction for damage reconstruction of space debris hypervelocity impact
文献摘要：
To improve the survivability of orbiting spacecraft against space debris impacts,we propose an impact damage assessment method.First,a multi-area damage mining model,which can describe damages in different spatial layers,is built based on an infrared thermal image sequence.Subsequently,to identify different impact damage types from infrared image data effectively,the variational Bayesian inference is used to solve for the parameters in the model.Then,an image-processing framework is proposed to eliminate variational Bayesian errors and compare locations of different damage types.It includes an image segmentation algorithm with an energy function and an image fusion method with sparse representation.In the experiment,the proposed method is used to evaluate the complex damages caused by the impact of the secondary debris cloud on the rear wall of the typical Whipple shield configuration.Experimental results show that it can effectively identify and evaluate the complex damage caused by hypervelocity impact,including surface and internal defects.
文献关键词：
中图分类号：
作者姓名：
Xuegang HUANG;Anhua SHI;Qing LUO;Jinyang LUO
作者机构：
Hypervelocity Aerodynamics Institute,China Aerodynamics Research and Development Center,Mianyang 621000,China
文献出处：
引用格式：
[1]Xuegang HUANG;Anhua SHI;Qing LUO;Jinyang LUO-.Variational Bayesian multi-sparse component extraction for damage reconstruction of space debris hypervelocity impact)[J].信息与电子工程前沿（英文）,2022(04):530-541
A类：
B类：
Variational,Bayesian,multi,sparse,component,extraction,reconstruction,debris,hypervelocity,To,improve,survivability,orbiting,spacecraft,against,impacts,we,assessment,method,First,area,mining,model,which,can,describe,damages,different,spatial,layers,built,infrared,thermal,image,sequence,Subsequently,identify,types,from,data,effectively,variational,inference,solve,parameters,Then,processing,framework,proposed,eliminate,errors,compare,locations,It,includes,segmentation,algorithm,energy,function,fusion,representation,In,experiment,evaluate,complex,caused,by,secondary,cloud,rear,wall,typical,Whipple,shield,configuration,Experimental,results,show,that,including,surface,internal,defects
AB值：
0.556823
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