Research on Spaceborne Target Detection Based on Yolov5 and Image Compression

• Published in: Future internet Vol. 15; no. 3; p. 114
• Main Authors: Shi, Qi, Wang, Daheng, Chen, Wen, Yu, Jinpei, Zhou, Weiting, Zou, Jun, Liu, Guangzu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2023
• Subjects: Aircraft; Algorithms; Bandwidths; Cameras; Data compression; Data transmission; Ground stations; High resolution; Image compression; Image resolution; Image transmission; Internet; Machine learning; Methods; Optical measuring instruments; Remote sensing; Satellite communications; Satellite imagery; Sensors; Target detection; Wavelet transforms; Yolov5; China
• ISSN: 1999-5903; 1999-5903
• DOI: 10.3390/fi15030114

Satellite image compression technology plays an important role in the development of space science. As optical sensors on satellites become more sophisticated, high-resolution and high-fidelity satellite images will occupy more storage. This raises the required transmission bandwidth and transmission rate in the satellite–ground data transmission system. In order to reduce the pressure from image transmission on the data transmission system, a spaceborne target detection system based on Yolov5 and a satellite image compression transmission system is proposed in this paper. It can reduce the pressure on the data transmission system by detecting the object of interest and deciding whether to transmit. An improved Yolov5 network is proposed to detect the small target on the high-resolution satellite image. Simulation results show that the improved Yolov5 network proposed in this paper can detect specific targets in real satellite images, including aircraft, ships, etc. At the same time, image compression has little effect on target detection, so detection complexity can be effectively reduced and detection speed can be improved by detecting the compressed images.