Abstract
The hypervelocity impact of space debris can cause complex types of defects for spacecraft, posing a significant challenge for spacecraft damage assessment. To meet the need for detecting complex defects, a novel spacecraft damage assessment method based on multi-objective guided-filter infrared thermal image fusion is proposed. The fusion needs of multiple types of defects are jointly optimised by considering them in the image fusion process. Various feature damage fusion needs are considered and optimised simultaneously in the image fusion process. Multiple cost functions for different categories of damage not only consider the edge preservation requirements of large defects but also retain more subtle damage details while suppressing noise. The experiment demonstrates that the propose method, which takes into account multiple damage fusion objectives, exhibits improved performance compared to the conventional single-target fusion methods.
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