摘要
In order to conduct a comprehensive vulnerability analysis of armored vehicles, we developed armored vehicle target vulnerability database software using Visual Studio 2019 software development tool and Sqlite database software. The software consists of modules such as target function and structure analysis, target damage level and damage tree, target equivalence model and target damage criterion, which contain various conditions for vulnerability analysis of armored vehicles and lay the foundation for damage assessment of armored vehicle targets.
源语言 | 英语 |
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主期刊名 | Third International Conference on Computer Vision and Data Mining, ICCVDM 2022 |
编辑 | Tao Zhang, Ting Yang |
出版商 | SPIE |
ISBN(电子版) | 9781510661363 |
DOI | |
出版状态 | 已出版 - 2023 |
已对外发布 | 是 |
活动 | 3rd International Conference on Computer Vision and Data Mining, ICCVDM 2022 - Hulun Buir, 中国 期限: 19 8月 2022 → 21 8月 2022 |
出版系列
姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
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卷 | 12511 |
ISSN(印刷版) | 0277-786X |
ISSN(电子版) | 1996-756X |
会议
会议 | 3rd International Conference on Computer Vision and Data Mining, ICCVDM 2022 |
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国家/地区 | 中国 |
市 | Hulun Buir |
时期 | 19/08/22 → 21/08/22 |
指纹
探究 'Armored vehicle target vulnerability database software design' 的科研主题。它们共同构成独一无二的指纹。引用此
Liang, Z., Chen, L., Wang, S., & Zhao, H. (2023). Armored vehicle target vulnerability database software design. 在 T. Zhang, & T. Yang (编辑), Third International Conference on Computer Vision and Data Mining, ICCVDM 2022 文章 125110A (Proceedings of SPIE - The International Society for Optical Engineering; 卷 12511). SPIE. https://doi.org/10.1117/12.2660312