A VARIATIONAL FORMULATION FOR HYPERSPECTRAL AND MULTISPECTRAL IMAGE FUSION

被引：0

作者：

Mifdal, Jamila ^{[1
,2
]}

Coll, Bartomeu ^{[1
]}

Duran, Joan ^{[1
]}

机构：

[1] Univ Illes Balears, IAC3, Dept Math & Comp Sci, E-07122 Palma De Mallorca, Spain

[2] Univ Bretagne Sud, LMBA, F-56000 Vannes, France

来源：

2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2018年

关键词：

Hyperspectral; image fusion; pansharpening; variational methods; nonlocal regularization; SUPERRESOLUTION; FRAMEWORK; QUALITY;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We propose a new convex variational model for hyperspectral and multispectral image fusion. Our approach introduces nonlocal regularization conditioned to the geometry of the multispectral image and incorporates a constraint forcing the fusion product and the multispectral data to share modulated high frequencies. The proposed method is compared with state-of-the-art fusion techniques, showing competitive results for several quality metrics on different data.

引用

页码：3328 / 3332

页数：5

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