Title :
Multi-spectral remote image registration based on SIFT
Author :
Yi, Z. ; Zhiguo, C. ; Yang, X.
Author_Institution :
Huazhong Univ. of Sci. & Technol., Wuhan
Abstract :
The number of incorrect matches of SIFT keypoints will sharply increase when the SIFT-based registration algorithm is adopted for pairs of multi-spectral remote images, owing to the significant difference in the image intensity between multi-spectral images. Scale restriction criteria for keypoint matching are proposed, and experimental results demonstrate that it will greatly improve match performance.
Keywords :
geophysical signal processing; image matching; image registration; remote sensing; spectral analysis; SIFT-based registration algorithm; keypoint matching; multispectral remote image registration;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20082477