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9 September 2022 Study on target damage assessment method based on mask R-CNN
Mingyan Zhao, Yanan Di, Weilhua Han
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Proceedings Volume 12328, Second International Conference on Optics and Image Processing (ICOIP 2022); 123281C (2022) https://doi.org/10.1117/12.2644319
Event: Second International Conference on Optics and Image Processing (ICOIP 2022), 2022, Taian, China
Abstract
Aiming at the difficulty of multi-target damage assessment in complex environment, a target damage assessment method based on Mask R-CNN is proposed. In the method, the pre-training weights are obtained by Mask R-CNN model, and the parameters of the Mask R-CNN backbone network are initialized according to the target size and damage scene. The initialized parameter of Mask R-CNN backbone network is improved based on the pre-training weight. The method solves the problem that a single target can’t provide accurate damage assessment effect. Through simulation experiments of multi-target damage, the reliability and accuracy of the method are improved obviously.
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Mingyan Zhao, Yanan Di, and Weilhua Han "Study on target damage assessment method based on mask R-CNN", Proc. SPIE 12328, Second International Conference on Optics and Image Processing (ICOIP 2022), 123281C (9 September 2022); https://doi.org/10.1117/12.2644319
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KEYWORDS
Target detection
Data modeling
Image segmentation
Statistical modeling
Neural networks
Detection and tracking algorithms
Feature extraction
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