Fig. 1. Improved DenseNet network model

Fig. 2. Improved DenseNet for YOLOv4 feature extraction network

Fig. 3. SE-CSP module proposed in this article

Fig. 4. ICBAM module

Fig. 5. Improved YOLOv4 network model

Fig. 6. Test results of ablation experiments
(a): Original remote sensing images; (b): Detection using YOLOv4; (c): Improved DenseNet detection for original YOLOv4 feature extraction; (d): Improved DenseNet and SE modules for original YOLOv4 detection; (e): Improved DenseNet, SE and CBAM modules for original YOLOv4 detection

Fig. 7. Experimental results of different target detection algorithms and improved algorithms
(a): Original remote sensing images; (b): Detection using YOLOv3 algorithm; (c): Detection using YOLOv3-UAV^[10];(d): Detection using YOLOv3-ship^[11]; (e): Detection using original YOLOv4; (f): Detection using the algorithm proposed in this paper

Table 1. Analysis of ablation experiments

Table 2. Comparison of different target detection algorithms