A NOVEL TWO-STAGE GUIDED FILTERING BASED PANSHARPENING METHOD

被引:0
|
作者
Zhang, Yiming [1 ]
Li, Xu [1 ]
Gao, Ang [1 ]
Li, Lixin [1 ,2 ]
Yue, Shigang [3 ]
机构
[1] Northwestern Polytech Univ, Sch Elect & Informat, Xian, Shaanxi, Peoples R China
[2] Univ Houston, Dept Elect & Comp Engn, Houston, TX 77004 USA
[3] Univ Lincoln, Sch Comp Sci, Lincoln LN6 7TS, England
来源
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年
基金
中国国家自然科学基金;
关键词
Pansharpening; guided filter; panchromatic; multispectral; REMOTE-SENSING IMAGES; FUSION; CLASSIFICATION;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Pansharpening methods generally inject the missing spatial details from a high spatial resolution panchromatic (PAN) image into the corresponding co-registered low spatial resolution multispectral (MS) images while preserving the spectral information. However, most of methods extract the details only from PAN image, which may lead to distortions in the sharpened results. Motivated by this, we present a novel two-stage guided filtering based pansharpening method. In the preliminary stage, an injection model based on multi-channel guidance filtering is designed to keep the spectral fidelity of MS imagery. Then a single channel guidance filtering based injection model is proposed to enhance the details in the second stage. The proposed method is tested and verified by GeoEye-1 satellite images. Qualitative and quantitative analyses demonstrate the superiority of the proposed method compared with some state-of-the-art guided filtering based pansharpening methods.
引用
收藏
页码:2609 / 2612
页数:4
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