Abstract
In this study, a modified version of the popular SIFT algorithm is introduced. The algorithm is robust to nonlinear intensity changes between images which makes it a strong candidate for multispectral image registration. The proposed Orientation Restricted SIFT algorithm combines the SIFT descriptor vector elements in opposite directions. In this way, better feature matching performance is achieved with shorter descriptor vectors which translate into shorter matching complexity. The effect of scale restriction and contrast stretching is demonstrated on multispectral satellite images and scale restriction is found to be useful in eliminating incorrectly matched features.
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.
