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Comparison and evaluation of fusion methods used for GF-2 satellite image in coastal mangrove area
Author(s): Chengxing Ling; Hongbo Ju; Hua Liu; Huaiqing Zhang; Hua Sun
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Paper 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.

Paper Details

Date Published: 10 April 2018
PDF: 7 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 1061531 (10 April 2018); doi: 10.1117/12.2304499
Show Author Affiliations
Chengxing Ling, Institute of Forest Resource Information Techniques, CAF (China)
Hongbo Ju, Institute of Forest Resource Information Techniques, CAF (China)
Hua Liu, Institute of Forest Resource Information Techniques, CAF (China)
Huaiqing Zhang, Institute of Forest Resource Information Techniques, CAF (China)
Hua Sun, Central South Univ. of Forestry and Technology (China)


Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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