A Robust Image Fusion Method Based on Local Spectral and Spatial Correlation

被引：12
|
作者：
Wang, Huixian [1 ]
Jiang, Wanshou [1 ]
Lei, Chengqiang [2 ]
Qin, Shanlan [3 ]
Wang, Jiaolong [1 ]
机构：
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
[2] Mech Engn Coll, Dept Elect & Opt Engn, Shijiazhuang 050003, Peoples R China
[3] CEA, Crustal Monitoring & Applicat Ctr 2, Xian 710054, Peoples R China
来源：
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2014年 / 11卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Image fusion; local adaptive process; spectral and spatial correlation (SSC); spectral distortion; synthetic variable ratio (SVR); MULTISPECTRAL IMAGES; RESOLUTION; ENHANCEMENT; DECOMPOSITION; QUALITY; IHS;
D O I：
10.1109/LGRS.2013.2265915
中图分类号：
P3 [地球物理学]; P59 [地球化学];
学科分类号：
0708 ; 070902 ;
摘要：
To solve the potential color distortion problem of synthetic-variable-ratio method, an improved fusion method based on local spectral and spatial correlation (SSC) is presented. The proposed method, which uses SSC characteristics and local optimization strategy to simulate a low-resolution panchromatic image, can effectively reduce the spectral distortion of the fused image. QuickBird and other satellite images are used to assess the quality of the method. Visual and quantitative analysis demonstrates that the proposed approach can significantly improve the fusion quality.
引用
收藏
页码：454 / 458
页数：5
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