| Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|
|
|---|---|---|
| Article Number | 03016 | |
| Number of page(s) | 6 | |
| Section | Geology, Mapping, and Remote Sensing | |
| DOI | https://doi.org/10.1051/e3sconf/202016503016 | |
| Published online | 01 May 2020 | |
Research on fusion of GF-6 imagery and quality evaluation
1 National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan), Wuhan, China
2 Geoscience Documentation Center of China Geological Survey, Beijing, China
3 Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing, China
* Corresponding author: lovewuhuaguo@126.com
Gaofen-6 (GF-6) has the advantages of wide coverage, multiple resolutions, and multiple bands. Image fusion method is the key process in high resolution remote sensing application. Beijing Daxing International Airport was selected as the experiment area and four image fusion methods of HPF, NND, Gram-Schmidt and Pansharp were employed to process panchromatic and multispectral imaging. The results demonstrated that Pansharp was the best algorithm for image information and spectral fidelity of GF-6, taking into account the preservation of color effects of images and enhancement of spatial details, which can meet most fusion needs. HPF’s color retention is not as good as Pansharp algorithm. The contrast of the NND algorithm result is relatively high, which may cause the local image to be too bright and the texture to be lost. The GS algorithm has lower information entropy and average gradient. Compared with the other three algorithms, it has a worse effect on spatial details and texture expression. This conclusion can provide key reference for scientific research and engineering application using GF-6 satellite image．
© The Authors, published by EDP Sciences, 2020
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