Abstract
An often used operation in many remote sensing (RS) applications is searching for similar patches in a given image or a set of images. For example, this operation is exploited in modern non-local denoising techniques [1] and in UAV navigation and imaging sensors [2]. However, there are quite many factors that make similar patch search a complicated task. Among them, one of the most important factors is noise present in all RS images. If noise is not intensive, many methods of similar patch search perform well enough. However, they start to fail if noise intensity increases and/or noise is not additive white Gaussian.
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.
