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Wide-scale Hyperspectral Image Reconstruction Method Based on Multi/Hyperspectral Image Fusion

A hyperspectral image and multispectral image technology, applied in the field of wide-range hyperspectral images, can solve the problems of image spectral resolution, spatial resolution, width and signal-to-noise ratio cannot be guaranteed at the same time

Active Publication Date: 2016-04-13
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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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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[0031] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0032] The technical solution of the present invention proposes a wide-width hyperspectral image reconstruction method based on multi / hyperspectral image fusion, including:

[0033] Synchronously extract ground object endmembers in overlapping areas of multi / hyperspectral images;

[0034] Construct the fusion model between multi- / hyperspectral images by sub-endmembers, establish the conversion relationship, and perform model parameter calculation, and establish the model parameter library;

[0035] The parameters of the model are selected through spectral matching, and the hyperspectral information is obtained by reconstructing the spectrum of the multispectral image pixe...

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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 invention relates to the technical field of remote sensing, in particular to a method for reconstructing and obtaining wide-width hyperspectral images with high spatial resolution through fusion of satellite multi / hyperspectral remote sensing images. Background technique [0002] Hyperspectral remote sensing data provide a large amount of spectral information of ground objects, which is conducive to fine classification and quantitative remote sensing of ground objects. 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, which greatly restricts its application ability. In the design of satellite remote sensing imaging system, in order to meet the requirements of signal-to-noise ratio, while obtaining hyperspectral remote sensing data, it is necessary to sacrifice a certain spatial resolution and...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 张立福孙雪剑岑奕吴太夏杨杭王晋年
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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