Abstract
Change detection analysis usually involves multi-spectral, multi-source and/or multi-resolution imagery that has been captured at different times. Accurate co-registration of these datasets is a prerequisite step for a reliable change detection procedure. This paper introduces a new approach for automatic image registration using the Modified Iterated Hough Transform (MIHT) and linear features, which have been chosen since they can be reliably extracted from imagery with varying geometric and radiometric properties. Finally, edge detection and subtraction of the registered images are used as the basis for the change-detection procedure. Experimental results from real data proved the feasibility of the suggested approach.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
