Zhaoxiang Zhang received his Ph.D. in 2020 from the Institute of Satellite Technology, School of Astronautics, Harbin Institute of Technology, China. Since 2020, he has been an associate professor at the Institute of Unmanned System Technology, Northwestern Polytechnical University, where his research focuses on unmanned system technology, unsupervised learning, and aerospace image processing. His landmark achievements have been successfully applied to the development of reconnaissance equipment, including a high-altitude UAV, an in-service medium-altitude UAV, and the CW-25 industrial UAV, enhancing reconnaissance and positioning performance as well as improving image interpretation systems.
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Unsupervised Computer Vision for Aerospace Systems
Zhaoxiang Zhang
This book addresses perception and monitoring challenges in aerospace systems by employing innovative unsupervised learning techniques, thereby providing solutions for scenarios characterized by limited labelled data or dynamic environments. It explores practical methods such as domain adaptation for cross-modal pose estimation, causal inference for point cloud segmentation, and lightweight vision models optimized for edge computing. Key features include algorithm flowcharts, performance comparison tables, and real-world case studies covering planetary crater...
