SAR Image Ship Target Detection Based on Receptive Field Enhancement Module and Cross-Layer Feature Fusion
Haokun Zheng,
Xiaorong Xue,
Run Yue
et al.
Abstract:The interference of natural factors on the sea surface often results in a blurred background in Synthetic Aperture Radar (SAR) ship images, and the detection difficulty is further increased when different types of ships are densely docked together in nearshore scenes. To tackle these hurdles, this paper proposes a target detection model based on YOLOv5s, named YOLO-CLF. Initially, we constructed a Receptive Field Enhancement Module (RFEM) to improve the model’s performance in handling blurred background images… Show more
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