A Rudin-Osher-Fatemi model-based pansharpening approach using RKHS and AHF representation

Jun Liu; Liang Jian Deng; Faming Fang; Tieyong Zeng

doi:10.4208/eajam.150818.061118

A Rudin-Osher-Fatemi model-based pansharpening approach using RKHS and AHF representation

Jun Liu
, Liang Jian Deng^*
, Faming Fang
, Tieyong Zeng

^*此作品的通讯作者

计算机科学与技术学院

Northeast Normal University
University of Electronic Science and Technology of China
Chinese University of Hong Kong

科研成果: 期刊稿件 › 文章 › 同行评审

7 引用（Scopus）

摘要

A 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 Pléiades and IKONOS satellite datasets demonstrate the efficiency of the method in preserving spectral and spatial information and show its superiority to other approaches.

源语言	英语
页（从-至）	13-27
页数	15
期刊	East Asian Journal on Applied Mathematics
卷	9
期	1
DOI	https://doi.org/10.4208/eajam.150818.061118
出版状态	已出版 - 2月 2019

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10.4208/eajam.150818.061118

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abstract = "A 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 Pl{\'e}iades and IKONOS satellite datasets demonstrate the efficiency of the method in preserving spectral and spatial information and show its superiority to other approaches.",

keywords = "Approximated Heaviside function, Multi-spectral image, Pansharpening, Reproducing kernel Hilbert space",

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AU - Liu, Jun

AU - Deng, Liang Jian

AU - Fang, Faming

AU - Zeng, Tieyong

PY - 2019/2

Y1 - 2019/2

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AB - A 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 Pléiades and IKONOS satellite datasets demonstrate the efficiency of the method in preserving spectral and spatial information and show its superiority to other approaches.

KW - Approximated Heaviside function

KW - Multi-spectral image

KW - Pansharpening

KW - Reproducing kernel Hilbert space

UR - https://www.scopus.com/pages/publications/85074305613

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DO - 10.4208/eajam.150818.061118

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IS - 1

ER -

A Rudin-Osher-Fatemi model-based pansharpening approach using RKHS and AHF representation

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