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CLC number: TP391.4

On-line Access: 2022-04-20

Received: 2020-12-12

Revision Accepted: 2022-05-04

Crosschecked: 2021-06-28

Cited: 0

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Citations:  Bibtex RefMan EndNote GB/T7714


Chun YIN


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Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.4 P.571-586


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

Author(s):  Xiao YANG, Chun YIN, Sara DADRAS, Guangyu LEI, Xutong TAN, Gen QIU

Affiliation(s):  School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; more

Corresponding email(s):   yinchun.86416@163.com, chunyin@uestc.edu.cn

Key Words:  Hypervelocity impact damage, Defect detection, Gaussian mixture model, Image segmentation

Xiao YANG, Chun YIN, Sara DADRAS, Guangyu LEI, Xutong TAN, Gen QIU. Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target segmentation[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(4): 571-586.

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author="Xiao YANG, Chun YIN, Sara DADRAS, Guangyu LEI, Xutong TAN, Gen QIU",
journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target segmentation
%A Xiao YANG
%A Chun YIN
%A Guangyu LEI
%A Xutong TAN
%A Gen QIU
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 4
%P 571-586
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2000695

T1 - Spacecraft damage infrared detection algorithm for hypervelocity impact based on double-layer multi-target segmentation
A1 - Xiao YANG
A1 - Chun YIN
A1 - Sara DADRAS
A1 - Guangyu LEI
A1 - Xutong TAN
A1 - Gen QIU
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 4
SP - 571
EP - 586
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2000695

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.


杨晓1,殷春1,Sara DADRAS2,雷光钰1,谭旭彤1,邱根1


Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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