Abstract
This chapter presents an analysis of the current status and the challenges in change detection techniques for the analysis of multitemporal SAR images. Algorithms and methods based on validated statistical models for SAR data are investigated, which adopt advanced information-theoretic and multi-scale signal-processing methodologies. After a brief review of the recent literature on general change detection methods, the chapter investigates the specific problem of change detection in SAR images. The main properties of the change detection problem in SAR images are explored and discussed. Then, recent change detection techniques for high-resolution (HR) and very high-resolution (VHR) SAR data are presented and critically analyzed from the theoretical viewpoint. Finally, examples of application of these techniques to real problems are presented by using simulated image pairs and Enhanced Spotlight COSMO-SkyMed images.
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.
