Abstract
The authors address both the classification and the detection of changes in multitemporal and multisensor remote-sensing images. They propose a technique that is based on the compound classification rule for minimum error. The basic idea of such a technique was presented by L. Bruzzone et al. (1997), where it was applied to the detection of changes in images acquired by a single optical sensor. The purpose of the present paper is to present an improved version of the authors' technique and to highlight its potentialities for the analysis of multisensor images by reporting on experiments with a real data set.
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.
