Share Email Print
cover

Proceedings Paper

Hybrid approach for remote sensing image registration
Author(s): Chunlei Huo; Keming Chen; Zhixin Zhou; Hanqing Lu
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Remote sensing image registration is the key issue for change detection. To reduce the effects of misregistration on the accuracy of change detection, a hybrid registration method is proposed in this paper. First, we use the registration approach based on SIFT(Scale Invariant Feature Transform) to get the initial parameters, and then area-based method is employed to refine the performance of registration. In order to improve the efficiency of computation, the multiresolution based coarse-to-fine strategy is adopted during the refined procedure. In contrast with feature-based or area-based method, our hybrid method is accurate, robust and automated since it integrates the merits of both approaches. The experiments on simulated and real images show the promising performance of the proposed method.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679006 (14 November 2007); doi: 10.1117/12.749592
Show Author Affiliations
Chunlei Huo, Institute of Automation (China)
Keming Chen, Institute of Automation (China)
Zhixin Zhou, Beijing Institute of Remote Sensing (China)
Institute of Automation (China)
Hanqing Lu, Institute of Automation (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

© SPIE. Terms of Use
Back to Top