A Rudin-Osher-Fatemi Model-Based Pansharpening Approach Using RKHS and AHF Representation
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AbstractA pansharpening method based on the Rudin-Osher-Fatemi model and using a reproducing kernel Hilbert space along with the approximated Heaviside function is developed. The corresponding minimisation problem is solved by the alternating direction method of multipliers. Numerous numerical experiments with Pleiades and IKONOS satellite datasets demonstrate the efficiency of the method in preserving spectral and spatial information and show its superiority to other approaches.
All Author(s) ListLiu J, Deng LJ, Fang FM, Zeng TY
Journal nameEAST ASIAN JOURNAL ON APPLIED MATHEMATICS
Year2019
Month2
Volume Number9
Issue Number1
PublisherGLOBAL SCIENCE PRESS
Pages13 - 27
ISSN2079-7362
eISSN2079-7370
LanguagesEnglish-United Kingdom
KeywordsMulti-spectral image, reproducing kernel Hilbert space, pansharpening, approximated Heaviside function
Web of Science Subject CategoriesMathematics, Applied;Mathematics

Last updated on 2020-30-03 at 00:02