Variable class remote sensing image segmentation method based on optimal fuzzy factor selection
A fuzzy factor and remote sensing image technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as poor anti-noise performance and inability to achieve accurate image segmentation
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[0039] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0040] A variable class remote sensing image segmentation method based on optimal fuzzy factor selection, such as figure 1 shown, including the following steps:
[0041] Step 1: read the remote sensing image to be segmented, measure the spectral measurement vector of each pixel in the remote sensing image to be segmented, and represent the remote sensing image to be segmented as a set of spectral measurement vectors of each pixel;
[0042] In this embodiment, the remote sensing image to be segmented is defined as X={x i , i=1,...,n}, where i is the pixel index, n is the number of pixels, x i =(x i1 ,...,x id ) is the spectral measure vector of pixel i, and d is the nu...
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