Abstract
In this paper, we propose an automatic image-to-image registration between high resolution multi-sensor images. To do this, TerraSAR-X image was shifted according to the initial translation differences of the x and y directions between images estimated using Mutual Information method. After that, the Canny edge operator was applied to both images to extract linear features. These features were used to design a cost function that finds matching points based on the similarities of their locations and gradient orientations. For extracting large number of evenly distributed matching points, only one point within each regular grid constructed throughout the image was extracted to the final matching point pair. The model, which combined the piecewise linear function with the global affrne transformation, was applied to increase the accuracy of the geometric correction, and the proposed method showed RMSE lower than 5m in all study sites.
| Original language | English |
|---|---|
| Pages (from-to) | 667-675 |
| Number of pages | 9 |
| Journal | Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography |
| Volume | 29 |
| Issue number | 6 |
| DOIs | |
| State | Published - Dec 2011 |
Keywords
- Automatic image-to-image registration
- High resolution multi-sensor images
- KOMPSAT-2
- Mutual Information
- TerraSAR-X
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