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GF-2 Satellite Remote Sensing Image Fusion Method and Evaluation
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Author: Yanchao Duan, Jun Ma
Abstract: Remote sensing images taken by different satellites have the different adaptability to fusion algorithms, and different fusion algorithms need to be selected according to the actual needs. With GF-2 satellite remote sensing image as the research object, through the construction area, vegetation area, water area of the panchromatic image and multispectral image were fused. Choose Brovey, Gramm-Schmidt, HCS, HPF, NNDifuse, PCA, a total of six kinds of image fusion method, after adjustment for GF-2 multispectral image and panchromatic image fusion processing, and the fusion results are comprehensive quantitative evaluation and qualitative evaluation. The experimental results show that NNDifuse fusion method is more suitable for GF-2 image fusion, the second respectively HCS, Gramm - Schmidt, PCA fusion method, and Brovey and HPF fusion method is used for GF-2 image fusion effect is poorer.
Keywords: GF-2, Image Fusion, Image Processing
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