Remote Sensing Video Tracking: Current Status, Challenges, and Future

Fang Liu, Jiahao Wang, Licheng Jiao, Jie Zhang, Hao Wang, Shuo Li, Lingling Li, Puhua Chen, Xu Liu, Wenping Ma, Shuang Wang, Shuyuan Yang, Xiangrong Zhang, Yaoyang Du, Qianyue Bao, Long Sun, Biao Hou

Abstract: With the rapid advancement of remote sensing technology, the acquisition and processing of remote sensing video data, including high-resolution satellite, hyperspectral, and synthetic aperture radar video, have become key research areas in remote sensing. As a crucial branch of video analysis, remote sensing video tracking enables continuous monitoring and dynamic analysis of ground targets, with widespread applications in military operations, disaster monitoring, environmental protection, and urban management. This review systematically examines the current state of remote sensing video tracking research, exploring the technological advancements of traditional and modern methods, including model-based approaches, feature-based approaches, and deep-learning-based methods. The work also examines evaluation metrics and benchmark testing methodologies in remote sensing video tracking. Finally, this review highlights ten unresolved challenges in the field and offers insights into the future of next-generation artificial intelligence technologies. Through a comprehensive overview and in-depth analysis of existing technologies, this work aims to provide researchers with a systematic reference, promoting further development and innovation in remote sensing video tracking.

External IDs:dblp:journals/staeors/LiuWJZWLLCLMWYZDBSH25