Hyperspectral image classification method based on spatial information adaptive processing

Abstract

The invention discloses a hyperspectral image classification method based on spatial information adaptive processing, and the method comprises the steps: employing a support vector machine model to process the spectral information of an original image, obtaining an initial classification result, taking the initial classification result as a spectral item, and constructing a conventional Markov random field model; calculating a relative homogeneity index of each pixel; adding the relative homogeneity index into an original space item weight constant coefficient to obtain an adaptive weight coefficient; and according to adaptive adjustment of the pixel space item weight coefficient, replacing a space item weight constant coefficient in a traditional Markov random field model with the adaptive weight coefficient so as to construct an adaptive Markov random field model, and adopting the adaptive Markov random field model to classify the hyperspectral image. The method can be used as an effective means of hyperspectral image classification based on spatial information, and has important application value in the aspects of hyperspectral image earth surface fine classification and the like.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a hyperspectral image classification method based on spatial information adaptive processing. Background technique [0002] Hyperspectral remote sensing is a cutting-edge technology in remote sensing science. It can image and measure spectra. Its image data contains rich spectral and spatial information, which brings new opportunities for solving the key problem of image classification in remote sensing science. with challenges. Hyperspectral image classification is based on spectral information and spatial information, and the classification method based on spectral features is to classify hyperspectral data as a disordered signal set. But in fact, the pixels of a hyperspectral image are a special set of ordered arrangements in two-dimensional space, and its direct manifestation is the spatial characteristics of the image. With the increase of the spect...

AI Technical Summary

Problems solved by technology

[0004] According to the problem of "over-correction" that is prone to occur when hyperspectral images are classified using spatial correlation information in the prior art, the present invention discloses a hyperspectral image classification method based on spatial information adaptive processing, which specifically includes the following step:

Images