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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ismail, N.A.F.b. Kamarudin, S.N. bin Mohd Rahim, M.S. Liu, J.G. Mason, P. |
| Copyright Year | 2010 |
| Abstract | The rapidly growing field of remote sensing is beginning to supply massive quantities of high-resolution imagery of the Earth and other planets. In the earth sciences, parallel supercomputers have always played a prominent role in the visualization of this imagery, and in other image processing applications designed to enhance and display the obtained information. Imageodesy is a technique for detection and measurement of feature shifts between two images based on local feature fitting algorithms such as Normalize Cross-Correlation (Crippen, 1992) and phase correlation. This technique allows the vast archives of optical imagery, collected by satellite systems such as SPOT and Landsat, to be used not only to detect but also to measure the subtle terrain displacements associated with earthquakes, glacial motion and volcanic processes, all to within sub-resolution accuracy and precision is also a major factor. |
| Starting Page | 320 |
| Ending Page | 325 |
| File Size | 713042 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424478378 |
| DOI | 10.1109/CICSyN.2010.29 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-28 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | image processing parallel supercomputers SPOT Landsat massive quantities imageodesey Remote sensing |
| Content Type | Text |
| Resource Type | Article |
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