Method for reconstructing wide hyperspectral image based on fusion of multispectral/hyperspectral images

Abstract

The invention provides a method for reconstructing a wide hyperspectral image based on fusion of mulspectral / hyperspectral images. The method for reconstructing the wide hyperspectral image based on fusion of the multispectral / hyperspectral images comprises the following steps that surface feature end members are synchronously extracted in an overlapping area of the multispectral / hyperspectral images; a fusion model among the multispectral / hyperspectral images is established according to the end members, a transformational relation is established, model parameters are resolved and calculated, and a model parameter base is established; selection of the model parameters is conducted through spectrum matching, and spectrum reconstruction is conducted on multispectral images pixels by pixels so that hyperspectral information can be obtained. According to the technical scheme, by means of data fusion, successive wide hyperspectral images which have high spectral resolutions can be obtained through reconstruction of other multispectral remote sensing data, the spectral resolutions of the hyperspectral images are identical to data of original hyperspectral images, the spatial resolution and the width are identical to the original multispectral data, the hyperspectral resolutions of the original hyperspectral images is kept, and the spatial resolution and the width of each of the hyperspectral images can be improved.

Description

Technical field [0001] The present invention relates to the technical field of remote sensing, in particular to a method for obtaining a wide-spectral hyperspectral image with high spatial resolution through reconstruction of satellite multi / hyperspectral remote sensing images. Background technique [0002] Hyperspectral remote sensing data provides a large amount of spectral information of ground features, which is conducive to fine classification and quantitative remote sensing of ground features. However, hyperspectral remote sensing has not been widely applied and popularized so far. The main reason is that the current satellite hyperspectral data has low spatial resolution and narrow scanning width, and its application ability is greatly restricted. In the design of satellite remote sensing imaging system, in order to meet the requirements of signal-to-noise ratio, while acquiring hyperspectral remote sensing data, it is necessary to sacrifice certain spatial resolution and ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a wide range hyperspectral image reconstruction method based on multi / hyperspectral image fusion, to solve the problems of spectral resolution, spatial The problem that resolution, width and signal-to-noise ratio cannot be guaranteed at the same time

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