Abstract
Abstract In synthetic aperture radar (SAR) imaging, pulses of microwave energy are transmitted towards the ground surface (target). The backscattered signal energy is measured at the receiving end. In this process, a speckle noise is added because of the coherent imaging system and makes the study of images very difficult. For better SAR image processing, the speckle has to be removed in the initial stages of processing and maintain all texture features efficiently. The (Block Matching 3D algorithm) BM3D method is generally considered as state of art method in denoising of SAR images. Still some amount of speckle left with images. This is due to sampling conversion at transmitter and receiver. In this paper, it is proposed a technique to despeckle the speckle noise to the maximum extent while maintaining the edge characteristics. This technique uses un-sampling at both the ends.
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.
