A UNIFIED FRAMEWORK FOR SPATIO-TEMPORAL-SPECTRAL FUSION OF REMOTE SENSING IMAGES

被引：0
|
作者：
Meng, Xiangchao [1 ]
Shen, Huanfeng [1 ]
Zhang, Liangpei [2 ]
Yuan, Qiangqiang [3 ]
Li, Huifang [1 ]
机构：
[1] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China
[2] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China
[3] Wuhan Univ, Sch Geodesy & Geomat, Wuhan, Peoples R China
来源：
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2015年
关键词：
unified framework; image fusion; spatio-temporal-spectral resolutions; maximum a posteriori (MAP); remote sensing; RESOLUTION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a unified framework for the spatio-temporal-spectral fusion of remote sensing images is proposed. The relationships between the observed images and the desired image are first established based on general image observation models. Maximum a posteriori (MAP) theory is then employed to formulate the unified fusion framework. The proposed method is able to fuse images from an arbitrary number of optical sensors with different spatial, temporal, and spectral resolutions. The experimental results verify the effectiveness of the proposed method.
引用
收藏
页码：2584 / 2587
页数：4
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