High-resolution full-wave band hyperspectral remote sensing image simulation method

Abstract

The invention discloses a high-resolution full-wave band hyperspectral remote sensing image simulation method, which comprises the following steps: inputting a small number of wave band hyperspectralimages, preprocessing the input images, and converting gray scale values of the image bodies into spectral reflectivity values of all points in the images; classifying the images according to the different spectral reflectivity values in the images; comparing the spectral reflectivity of all the points in the images with spectral reflectivity data of ground objects in corresponding wave bands in astandard ground object reflectivity database, and matching a real ground object corresponding to each classification block through an error function; calculating the spectral reflectivity of the matched ground object in a simulated wave band according to the standard ground object reflectivity database; converting the spectral reflectivity of the ground object into a spectral radiation brightnessvalue to complete simulation of a full-wave band image; and outputting a simulated image. According to the high-resolution full-wave band hyperspectral remote sensing image simulation method disclosed by the invention, on the basis of only a little of wave band image information, the simulation of a high-resolution full-wave band hyperspectral image can be realized from the intrinsic reflectivityof a substance.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a high-resolution full-band hyperspectral remote sensing image simulation method. Background technique [0002] With the development of aerospace research and enterprises in various countries, the strategic position of extraterrestrial space is increasing day by day. Under the situation of increasingly fierce competition in global space science and technology, space-based remote sensing, as one of the important applications of space detection platforms, has become the focus of research in various countries. Among them, the hyperspectral remote sensing data contains a large amount of target information, which not only includes the spatial characteristics of the target in the visible light band, but also covers the various radiation characteristics of the target in the non-visible band, which can provide researchers with a more complete basis for target detection and recogn...

AI Technical Summary

Problems solved by technology

[0003] However, the generation of hyperspectral images undoubtedly puts forward huge requirements on the performance of satellite detectors. If only space-based hyperspectral images and laboratory small-scene hyperspectral images are used to test the performance, on the one hand, the scarcity of data will inevitably lead to a huge increase. On the one hand, it is difficult to collect hyperspectral data in various complex scenes without omission, which is not conducive to the development of scientific research; on the other hand, satellite data cannot cover all-band data, and the scope of application is greatly reduced.

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