Abstract
In this paper, a new approach to speckle filtering of synthetic aperture radar (SAR) data is presented. We define a parameter space consisting of two orthogonal subspaces - the signal subspace and the noise subspace. Then, the full polarimetric information from the signal subspace is obtained after speckle filtering. Moreover, edges of different kinds of targets are preserved. Using polarimetric SAR data, the effectiveness of the proposed method is not only validate by the standard-deviation-to mean ratio, but also by target classification
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.