Remote Sensing Image Classification Method Based on Hash Coding
A technology of remote sensing images and classification methods, applied in the field of remote sensing image classification based on Hash coding, can solve the problems of redundant training set information, reduce training speed, overfitting, etc., to reduce data dimensions, improve efficiency, and provide fast Effect
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[0022] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:
[0023] The idea of the present invention is to divide each channel of the remote sensing image into N*N small blocks, (taking N=3 as an example) carry out Hash processing on each small block, generate a Hash sequence to characterize the characteristics of the block, and then encode the generated Classification improves the classification accuracy and makes the final classification result map have a better visual effect.
[0024] The basic process of the inventive method is as figure 1 As shown, it specifically includes the following steps:
[0025] Step 1. Divide the remote sensing image into 3*3 small blocks.
[0026] For each pixel of the remote sensing image, take the pixel as the center, take the neighborhood to construct 3*3 image blocks, and obtain a set of overlapping image blocks {I 1 , I 2 ,..., I 9}
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