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Real-Time Feature Detection for Booster Recovery:An Adaptive Harris Framework Integrating Scharr Vectorized Gradients and Dilation-Based NMS

Bowei Xu Cungui Yu Jianlin Zhong Qing He

哈尔滨工业大学学报（英文版）2026，Vol.33Issue(3)：15-31,17.

哈尔滨工业大学学报（英文版）2026，Vol.33Issue(3)：15-31,17.DOI:10.11916/j.issn.1005-9113.25027

Real-Time Feature Detection for Booster Recovery:An Adaptive Harris Framework Integrating Scharr Vectorized Gradients and Dilation-Based NMS

Bowei Xu ¹Cungui Yu ¹Jianlin Zhong ¹Qing He²

作者信息

1. School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China
2. Shanghai Aerospace Systems Engineering Research Institute,Shanghai 201109,China
折叠

摘要

关键词

Adaptive Robust Harris(ARH)/Scharr operator/adaptive thresholding/Non-Maximum Suppression(NMS)/complex environments/rocket booster recovery

Key words

Adaptive Robust Harris(ARH)/Scharr operator/adaptive thresholding/Non-Maximum Suppression(NMS)/complex environments/rocket booster recovery

分类

航空航天

引用本文复制引用

Bowei Xu,Cungui Yu,Jianlin Zhong,Qing He..Real-Time Feature Detection for Booster Recovery:An Adaptive Harris Framework Integrating Scharr Vectorized Gradients and Dilation-Based NMS[J].哈尔滨工业大学学报（英文版）,2026,33(3):15-31,17.

基金项目

Sponsored by Shanghai Aerospace Science and Technology Innovation Fund(Grant No.SAST2023-037). （Grant No.SAST2023-037）

哈尔滨工业大学学报（英文版）

ISSN：1005-9113

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