Analysis of Attitude Jitter on the Performance of Feature Detection
- Resource Type
- Conference
- Authors
- Sharif, Helia; Martinez Calvo, Borja; Pfaab, Christian; Holzel, Matthew
- Source
- 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) Applied Imagery Pattern Recognition Workshop (AIPR), 2017 IEEE. :1-9 Oct, 2017
- Subject
- Computing and Processing
Engineering Profession
General Topics for Engineers
Geoscience
Photonics and Electrooptics
Signal Processing and Analysis
Feature extraction
Vibrations
Cameras
Detectors
Hardware
Temperature measurement
Deconvolution
- Language
- ISSN
- 2332-5615
This study explored a vision algorithm's performance during a shaker test to help reproduce the effects of vibration caused by the reaction wheels of a spacecraft. In this paper, we analyze the robustness of the feature detection technique by submitting the thermal and visible imaging cameras to sinusoidal vibrations as they simultaneously execute feature detection of the target.