Research of Target Detection Algorithm Based on the Remote Sensing Image

This paper proposes a method using the deep neural network for satellite remote sensing image detection. This paper improves its network structure base on the YOLO-v3 network, which includes reshaping multi-scale feature maps, improving the network structure, improving the detection ability of weak targets in remote sensing images, reducing the number of convolution channels in CNN, and improves the detection speed. In this paper, the target database is established based on satellite remote sensing images such as GF-2 and ZY-3. The results of this paper show that the proposed algorithm has excellent performance in target detection accuracy and efficiency.