A multispectral image classification method based on a double-channel multi-feature fusion network
A multi-feature fusion and multi-spectral image technology, applied in the field of multi-spectral image classification, can solve the problems of single spectral information and redundant information of single-satellite single-spectral segment, improve classification accuracy, ensure integrity and discrimination, improve The effect of testing accuracy
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[0037] The present invention will be further described below in conjunction with the accompanying drawings.
[0038] see figure 1 , the specific implementation steps of the present invention are as follows:
[0039]Step 1, superimpose and fuse the 9 bands taken by the landsat_8 satellite to obtain the fused multispectral feature L, where L=(L 1 , L 2 ,...,L i ), L i Indicates the multispectral feature of the i-th band of landsat_8, i=9 means that there are 9 bands in total, and the dimension of L is M×N×i, L i The dimension of is M×N, where M represents the height of the spectral feature matrix, and N represents the width of the spectral feature matrix.
[0040] Step 2, superimpose and fuse the 10 bands taken by the sentinel_2 satellite to obtain the fused multispectral feature L', where L'=(L 1 ', L' 2 ,...,L′ j ), L' j Represents the multispectral feature of the jth band of the sentinel_2 satellite, j=10 means that there are 10 bands in total, and the dimension of L...
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