首页|期刊导航|哈尔滨工业大学学报(英文版)|Real-Time Feature Detection for Booster Recovery:An Adaptive Harris Framework Integrating Scharr Vectorized Gradients and Dilation-Based NMS

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

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

School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,ChinaSchool of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,ChinaSchool of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,ChinaShanghai Aerospace Systems Engineering Research Institute,Shanghai 201109,China

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Adaptive Robust Harris(ARH)Scharr operatoradaptive thresholdingNon-Maximum Suppression(NMS)complex environmentsrocket booster recovery

Adaptive Robust Harris(ARH)Scharr operatoradaptive thresholdingNon-Maximum Suppression(NMS)complex environmentsrocket booster recovery

《哈尔滨工业大学学报(英文版)》 2026 (3)

15-31,17

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

10.11916/j.issn.1005-9113.25027

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