Comparison and evaluation of fusion methods used for GF-2 satellite image in coastal mangrove area

Chengxing Ling; Hongbo Ju; Hua Liu; Huaiqing Zhang; Hua Sun

doi:10.1117/12.2304499

10 April 2018 Comparison and evaluation of fusion methods used for GF-2 satellite image in coastal mangrove area

Chengxing Ling, Hongbo Ju, Hua Liu, Huaiqing Zhang, Hua Sun

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 1061531 (2018) https://doi.org/10.1117/12.2304499
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

GF-2 satellite is the highest spatial resolution Remote Sensing Satellite of the development history of China's satellite. In this study, three traditional fusion methods including Brovey, Gram-Schmidt and Color Normalized (CN） were used to compare with the other new fusion method NNDiffuse, which used the qualitative assessment and quantitative fusion quality index, including information entropy, variance, mean gradient, deviation index, spectral correlation coefficient. Analysis results show that NNDiffuse method presented the optimum in qualitative and quantitative analysis. It had more effective for the follow up of remote sensing information extraction and forest, wetland resources monitoring applications.

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Chengxing Ling, Hongbo Ju, Hua Liu, Huaiqing Zhang, and Hua Sun "Comparison and evaluation of fusion methods used for GF-2 satellite image in coastal mangrove area", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061531 (10 April 2018); https://doi.org/10.1117/12.2304499

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KEYWORDS

Image fusion

Satellites

Data fusion

Remote sensing

Multispectral imaging

Spatial resolution

Satellite imaging

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