利用空间环境知识的航天器识别:模拟器、数据集、竞赛设计与分析

M. A. Musallam, Vincent Gaudillière, Enjie Ghorbel, Kassem Al Ismaeil, M. Perez, Michel Poucet, Djamila Aouada
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引用次数: 10

摘要

SPARK代表了由跨学科安全、可靠性和信任中心(SnT)与2021年IEEE图像处理国际会议(ICIP 2021)联合组织的利用空间环境知识的航天器识别竞赛的第一版。通过提供由150k张带注释的多模态图像组成的独特合成数据集,SPARK旨在鼓励研究人员开发空间目标识别和检测的创新解决方案。本文介绍了拟议的数据集,并对17份提交的结果进行了全面分析。
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Spacecraft Recognition Leveraging Knowledge of Space Environment: Simulator, Dataset, Competition Design and Analysis
SPARK represents the first edition of the SPAcecraft Recognition leveraging Knowledge of space environment competition organized by the Interdisciplinary Centre for Security, Reliability and Trust (SnT) in conjunction with the 2021 IEEE International Conference in Image Processing (ICIP 2021). By providing a unique synthetic dataset composed of 150k annotated multi-modal images, SPARK aims at encouraging researchers to develop innovative solutions for space target recognition and detection. This paper introduces the proposed dataset and provides a global analysis of the results obtained for the 17 submissions.
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Localizing Features with Masking for Satellite and Debris Classification Spark Challenge: Multimodal Classifier for Space Target Recognition Spacecraft Recognition Leveraging Knowledge of Space Environment: Simulator, Dataset, Competition Design and Analysis Special Session Organizers ICIPC 2021 Cover Page
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