IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES

被引：0
|
作者：
Han, Zhen [1 ]
Tang, Xinming [2 ]
Gao, Xiaoming [2 ]
Hu, Fen [2 ]
机构：
[1] Lanzhou Jiao Tong Univ, Sch Mapping & Geog Informat Syst, Lanzhou, Gansu, Peoples R China
[2] NASG, Satellite Surveying & Mapping Applicat Ctr, Beijing, Peoples R China
来源：
3RD ISPRS IWIDF 2013 | 2013年 / 40-7-W1卷
关键词：
Image Fusion; Brovey; PCA; Pansharp; SFIM; Accuracy Evaluation;
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
It is of great value to fuse a high-resolution panchromatic image and low-resolution multi-spectral images for object recognition. In the paper, tow frames of remotely sensed imagery, including ZY03 and SPOT05, are selected as the source data. Four fusion methods, including Brovey, PCA, Pansharp, and SFIM, are used to fuse the images of multispectral bands and panchromatic band. Three quantitative indicators were calculated and analyzed, that is, gradient, correlation coefficient and deviation. According to comprehensive evaluation and comparison, the best effect is SFIM transformation, combined with fusion image through four transformation methods.
引用
收藏
页码：33 / 36
页数：4
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