Directed target detection method based on hierarchical masking and robust ensemble regression
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NORTHWESTERN POLYTECHNICAL UNIV
- Filing Date
- 2024-05-10
- Publication Date
- 2026-05-26
AI Technical Summary
In remote sensing image target detection, complex backgrounds and arbitrary target orientations lead to inaccurate target feature extraction and increased regression complexity. Existing methods cannot effectively improve detection performance, especially in oriented target detection where there is a lack of perception of angle changes.
A directed object detection method based on hierarchical masking and robust ensemble regression is adopted. By constructing a directed object detection network and introducing a hierarchical masking module and robust ensemble regression constraints, the accuracy of feature extraction and bounding box regression is improved.
It effectively suppresses background noise, improves detection performance and efficiency, and is suitable for target detection tasks in aerial images and scene text.
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