Abstract
Gaofen-2 is a Chinese satellite launched in August 2014, which provides high-resolution imagery for Earth observation. In this paper, we propose a novel remote sensing pansharpening method based on the guided image filtering. A lower resolution panchromatic (PAN) is simulated, then the multispectral (MS) image is employed as a guidance image to the filtering process of this synthesized image to extract the spatial information. Finally, the spatial details are further modulated and injected into each band of resampled MS image. The feasibility of this method is demonstrated by a case study of Gaofen-2 imagery. Four evaluation metrics assessing spatial and spectral qualities of pansharpened image are considered for quantitative assessment. When compared to principal component analysis (PCA), Gram Schmidt (GS) and University of New Brunswick (UNB) Pansharpen methods, this algorithm can preserve the edge of original PAN band and show good capability in spectral fidelity.
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.
