Locally Linear Detail Injection for Pansharpening

被引：12
|
作者：
Liu, Junmin [1 ]
Hui, Yongchang [1 ]
Zan, Peng [2 ]
机构：
[1] Xi An Jiao Tong Univ, Sch Math & Stat, Xian 710049, Peoples R China
[2] Univ Maryland, Dept Elect Engn, College Pk, MD 20742 USA
来源：
IEEE ACCESS | 2017年 / 5卷
基金：
中国国家自然科学基金;
关键词：
Remote sensing; image fusion; pansharpening; DATA-FUSION; IMAGE DATA; MS; ALGORITHMS; REGRESSION; QUALITY;
D O I：
10.1109/ACCESS.2017.2710226
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a novel method, referred to as locally linear detail injection (LLDI), for the pansharpening problem, which is based on the assumption that the spatial details of each multispectral (MS) band can be locally and linearly represented by the spatial details of panchromatic images. LLDI first exploits such assumption through scales using the modulation transfer function (M11) of the MS instrument and then performs detail injections into the available low-resolution MS images. Visual analysis and quantitative evaluation performed on QuickBird and WorldView-2 data sets at both reduced and full scales show that the proposed LLDI achieves superior improvements over its baselines.
引用
收藏
页码：9728 / 9738
页数：11
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