Abstract
We describe and test a procedure to accurately co-register and correlate multi-temporal aerial images. We show that this procedure can be used to measure surface deformation, and explore the performance and limitations of the technique. The algorithms were implemented in a software package, COSI-Corr (available from the Caltech Tectonics Observatory website). The technique is validated on several case examples of co-seismic deformation. First, we measure co-seismic ground deformation due to the 1992, Mw 7.3, Landers, California, earthquake from 1 m resolution aerial photography of the National Aerial Photography Program (United States Geological Survey). The fault ruptures are clearly detected, including small kilometric segments with fault slip as small as a few tens of centimeters. We also obtained similar performance from images of the fault ruptures produced by the 1999 Mw 7.1 Hector Mine, California, earthquake. The measurements are shown to be biased due to the inaccuracy of the Digital Elevation Model, film distortions, scanning artifacts, and ignorance of ground displacements at the location of the tie points used to co-register the multi-temporal images. We show that some of these artifacts can be identified and corrected.
| Original language | English |
|---|---|
| Pages (from-to) | 551-560 |
| Number of pages | 10 |
| Journal | ISPRS Journal of Photogrammetry and Remote Sensing |
| Volume | 64 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published (in print/issue) - 1 Nov 2009 |
Funding
The authors would like to thank R. Michel and R. Binet (Laboratoire de Detection Geophysique, CEA, France) for their insightful comments and the valuable discussions on their early work; the anonymous reviewers whose comments have helped clarified a number of points; and Lionel Keene (Caltech) for the proofreading. This work was partly funded by NSF grant EAR 0636097 and by the Gordon and Betty Moore Fundation. This is Tectonic Observatory contribution 92.
Keywords
- Aerial
- Change detection
- Correlation
- Photography
- Registration
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