Object detection in remote sensing scenarios faces multiple challenges, primarily manifested in multi-scale objects, class imbalance, densely packed small targets, and occlusion. To address these issues, we propose DCA-Net, an object detection method based on deep context aggregation. Built upon the YOLO architecture,...
The proposed dataset and detection framework provide an effective solution for engineering vehicle perception in UAV-based intelligent inspection applications and improve multi-range feature modeling and detail-preserving cross-scale fusion.
Han Zhang, Kang-Fei Song, Xiao-Fei He et al.· Journal of King Saud Univers...· 0 citations
Adversarial patch attacks are core tools to evaluate adversarial robustness in remote sensing image classification, yet existing methods with fixed patch shapes and single-model optimization yield poor cross-architecture black-box transferability. This paper proposes the Dynamic Patch Shape Selection Framework (DPSF),...
Han Zhang, Bo Huang, Bingshu Wang et al.· Remote Sensing· 0 citations
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