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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu Zhang Shujun Li Guang Jin Xiubin Yang |
| Copyright Year | 2009 |
| Description | Author affiliation: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences Changchun, Jilin Province, China (Liu Zhang; Shujun Li; Guang Jin; Xiubin Yang) |
| Abstract | In order to obtain three-dimensional observation effect with single satellite borne time delay and integrate charge coupled device (TDI-CCD), pitching imaging is required. More accurate real-time image motion velocity vector computational model of space camera is also necessary to make the imaging perfect. Imaging motion velocity vector computation model must be set up on image plane at pitching imaging. According to the geometric relationship between the pitching imaging space camera and the Earth's rotation motion, satellite borne TDI CCD pitching imaging motion velocity vector model is derived by mapping the ground speed to the image plane and using coordinate transformation method. The numerical simulation results show that the image velocity model can reduce deviation angle error about 33' and about 30% image motion speed error compared to traditional ground velocity model. |
| Starting Page | 1587 |
| Ending Page | 1591 |
| File Size | 759570 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424447947 |
| DOI | 10.1109/ICAL.2009.5262713 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Charge coupled devices Computational modeling High-resolution imaging Optical imaging Optical arrays Space vehicles three-dimensional observation Satellites Space technology TDI CCD image motion velocity Cameras model Charge-coupled image sensors |
| Content Type | Text |
| Resource Type | Article |
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