Vision System for Satellite Observation in Close Quarters
- Resource Type
- Authors
- Huan-Zhang Lu; Xiao-Chun Liu; Yong-Liang Zhang; Zhi-Yong Zhang
- Source
- 2008 International Conference on Intelligent Computation Technology and Automation (ICICTA).
- Subject
- Computer science
Machine vision
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Iterative reconstruction
Solid modeling
Structure from motion
Satellite
Satellite navigation
Computer vision
Artificial intelligence
Image sensor
Adaptation (computer science)
business
- Language
The paper presents a concept and framework of a vision system for observing satellite in close quarters. The vision system uses natural features on the satellite surfaces instead of artificial markers for its operation, computes relative motion and structure of the target, and tracks features in image sequences. The vehicle equipped with the system can navigate automatically and freely around the satellite for reconnaissance and surveillance. Selected algorithms of the system have been characterized in ground environment; they are undergoing systematic sets of adaptation for space.