Improved hyperspectral image classifying method

Abstract

The invention discloses an improved hyperspectral image classifying method comprising the following steps of: (1) selecting the spatial neighbor of the central pixel of a hyperspectral image to be classified to obtain a high-quality spatial neighbor area by using a selection strategy based on watershed segmentation area or a minimal spanning tree neighbor selection strategy; (2) extracting the spatial feature of the high-quality spatial neighbor area; and (3) predicting a spectral space joint model to fuse a spatial feature and a spectral feature in a synthetic kernel way, to train a classification model, and to predict a hyperspectral image test set tag. The method selects different spatial neighbor selection modes, satisfies requirement for speed and precision in hyperspectral classification, solves a problem of same object with different spectra and different objects with same spectrum in the hyperspectral image by mining and utilizing spatial information, enhances the robustness of the original spectrum classification in virtue of high-quality spatial neighbor and feature information, and has a high use value.

Description

technical field [0001] The invention belongs to the field of hyperspectral image processing, in particular to an improved hyperspectral image classification method. Background technique [0002] With the continuous development of remote sensing hardware, hyperspectral remote sensing image processing technology has been developed rapidly and widely used, attracting the attention of a large number of researchers. Traditional remote sensing image classification only uses less band spectral information, while hyperspectral images contain hundreds of band spectral information, which is more helpful for classification, but classical pattern recognition methods classify them, and the misclassification phenomenon is less Seriously, the effect is not ideal. [0003] The rich spectral information in hyperspectral images also contains many challenges and problems, such as high-dimensional small sample classification, same object with different spectra, same spectrum with different obj...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the technical problems of the same object with different spectra and different objects with the same spectrum in hyperspectral images, the present invention proposes an improved hyperspectral image classification method, which can provide reliable information for real-time response and high-precision application scenarios. Hyperspectral Image Classification

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