A hyperspectral data and high-resolution image fusion method

Abstract

The invention discloses a hyperspectral data and high-resolution image fusion method, relates to the technical field of hyperspectral remote sensing. The method comprises the following steps: acquiring multiband hyperspectral data with latitude and longitude coordinates, searching a pixel corresponding to the multiband hyperspectral data in the high-resolution image; establishing a quadratic polynomial constraint condition according to the pixel value corresponding to each pixel, calculating a coefficient of a quadratic polynomial, calculating a multi-band spectral value of each pixel according to the coefficient and the pixel value, and then obtaining an image with high spectral resolution and high spatial resolution according to the pixel value and the multi-band spectral value. Correlation between a spectral value and a pixel value is emphasized. The method has the advantages that errors such as pixel resampling are avoided, correlation processing is performed on pixel values and multiband spectral values, judgment of characteristic attributes is higher in reliability and accuracy, the fusion effect is improved, in addition, the pertinence around auxiliary decisions is higher, and therefore the data processing amount is greatly reduced, and real-time processing is facilitated.

Description

technical field [0001] The present application relates to the technical field of hyperspectral remote sensing, in particular, to a fusion method of hyperspectral data and high-resolution images. Background technique [0002] Hyperspectral remote sensing data can accurately reflect the spectral differences of surface objects, so the degree of change and occurrence range of surface object spectra can be accurately extracted in remote sensing monitoring. However, hyperspectral remote sensing technology has disadvantages such as large amount of data, long calculation period, and limited spatial resolution, so it is difficult to be directly applied to actual remote sensing monitoring. The digital image can effectively improve the spatial resolution, which is conducive to the rapid classification of ground object information. Image fusion technology based on hyperspectral data and high-resolution digital images can effectively improve the computing speed and accuracy of remote se...

AI Technical Summary

Problems solved by technology

The spectral resolution of hyperspectral data is high, and the spatial resolution of high spatial resolution remote sensing images is high. When the two are fused, the amount of data is large, the calculation time is long, and it takes a huge amount of time

In addition, pixel-level fusion depends on the accuracy of image registration. If the registration accuracy is not high, the fusion result is difficult to be guaranteed.

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