Hyperspectral remote sensing image classification method and device, equipment and storage medium

Abstract

The invention provides a hyperspectral remote sensing image classification method, apparatus and device, and a storage medium. The method comprises the following steps: respectively obtaining a reference spectrum of each ground feature type and a pixel spectrum of each pixel from an original hyperspectral remote sensing image; calculating to obtain a spectral angular distance between the pixel spectrum and the reference spectrum; calculating the Euclidean distance of the optimal spectral characteristic parameter combination between the pixel spectrum and the reference spectrum; combining the spectral angular distance with the Euclidean distance to obtain a final matching distance between the pixel spectrum and the reference spectrum; and according to the final matching distance, judging a ground feature type to which each pixel in the image belongs, outputting a classification result graph of the original hyperspectral remote sensing image based on the ground feature type to which the pixel belongs, and carrying out precision evaluation on the classification result graph. According to the method, the spectral angular distance based on the overall characteristics of the spectrum and the combined characteristic parameter Euclidean distance which highlights the local detail characteristics of the spectrum are combined, so that the classification precision of the hyperspectral remote sensing image is improved.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a hyperspectral remote sensing image classification method, device, equipment and storage medium. Background technique [0002] Hyperspectral remote sensing is developed on the basis of imaging spectroscopy. It combines the rich spectral features of images with spatial features for the first time. It has the unique advantages of high spectral resolution, continuous spectrum and map-spectrum integration. It has extensive and important applications in the fields of detection, environmental monitoring, geological survey, marine, forestry and agricultural remote sensing. It is an important application of hyperspectral remote sensing technology to identify and classify ground object types based on the rich spectral and spatial information of hyperspectral data. The theoretical basis of its classification is "same object with same spectrum". The features and sp...

AI Technical Summary

Problems solved by technology

[0008] The invention proposes a hyperspectral remote sensing image classification method, device, equipment and storage medium, aiming to solve the technical problem that the traditional hyperspectral remote sensing image classification method cannot effectively express all spectral features and the classification accuracy is low

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