Remote sensing target detection method based on sparse guidance and significant drive
A target detection and salience technology, which is applied in the direction of instruments, character and pattern recognition, scene recognition, etc., can solve the problems of complex calculation, category recognition of insignificant areas, and extraction of target areas, etc., to achieve comprehensive category information and lucid recognition effect great effect
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[0026] See figure 1 As shown, the present invention is directed to a remote sensing target detection method based on sparse guidance and salient driving. The specific implementation steps are as follows:
[0027] Step 1: Divide the input remote sensing image into several sub-blocks, extract the color features of the global sub-blocks, cluster to form a global dictionary, and extract the background color features of the sub-blocks at the image boundary, and cluster to form a background dictionary;
[0028] (1) Construct a global dictionary
[0029] For the input remote sensing image, divide it into T sub-blocks, where T is an integer greater than 1, and use the color characteristics of the LAB color space to represent the sub-blocks to form a sub-block matrix. For the global set, the first The matrix formed by the expansion of color features in i sub-blocks is defined as G lab (i), 1≤i≤T, where G is the name of the matrix, lab is the name of the color space, i is a certain sub-block,...
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