Feature Selection Method of Remote Sensing Image Based on Cramer's V Index
A feature selection method and remote sensing image technology, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problem of low computing efficiency
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[0057] The present invention is based on the high-resolution remote sensing image feature selection method of Cramer's V correlation index, such as figure 1 shown, including the following steps:
[0058] Step 1: Preprocessing the acquired remote sensing images and extracting image features;
[0059] Step 2: Parallel processing of continuous feature discretization based on Cramer's V correlation index;
[0060] Step 3: Parallel processing to obtain the contingency table between two features;
[0061] Step 4: Feature selection based on Cramer's V association index.
[0062] In step 1, the remote sensing image preprocessing process includes the following steps:
[0063] Step 1.1: Perform corresponding preprocessing according to the image quality of the acquired optical remote sensing image data source, including geometric and radiometric correction, image stitching and cropping, image restoration and denoising, or image enhancement and fusion;
[0064] Step 1.2: Extract image...
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