Due to considerable diversities of multimodality remote sensing images in spectral component, the performances of scale-invariant feature transform (or SIFT) may be problematic. In view of this, a model of image registration based on tangent-crossing-point feature is proposed. With the help of tangent-cross-point feature, verifying the correctness of the feature matching is very easy, since it adopts the location information indexed by the correct matching pair of feature-points and transformation information determined by the correct matching pair of curves simultaneously. Experimental results show that this method is more efficient and reliable than the classic SIFT algorithm in some cases. |
ACCESS THE FULL ARTICLE
No SPIE Account? Create one
CITATIONS
Cited by 2 scholarly publications.
Image registration
Lawrencium
Remote sensing
Picosecond phenomena
Image processing
Earth observing sensors
Landsat