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Glacier recognition method based on airborne hyperspectral remote sensing data

A technology of hyperspectral remote sensing and identification method, which is applied in the field of glacier identification based on aerial hyperspectral remote sensing data, can solve the problems of small amount of spectral information and small number of remote sensing data bands, and achieves high identification accuracy, rich data sources, and narrow bandwidth. Effect

Active Publication Date: 2017-06-13
BEIJING RES INST OF URANIUM GEOLOGY
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Problems solved by technology

These remote sensing data have a small number of bands and a small amount of spectral information, making it difficult to carry out high-precision glacier identification directly based on glacier spectral information

Method used

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Embodiment Construction

[0026] The present invention is described in further detail below in conjunction with embodiment.

[0027] A glacier identification method based on aerial hyperspectral remote sensing data provided by the present invention, the method specifically includes the following steps:

[0028] Step 1, carry out aviation flight, obtain the SASI remote sensing data of aerial hyperspectral remote sensing in the research area, perform data preprocessing on the acquired SASI data of aerial hyperspectral remote sensing, and obtain the hyperspectral radiance data with geographical coordinates in the research area.

[0029] The above data preprocessing includes system radiation correction, system geometry correction and orthorectification to obtain hyperspectral radiance data with geographic coordinates.

[0030] In step 2, the hyperspectral radiance data with geographic coordinates obtained in step 1 is subjected to atmospheric correction and spectral reconstruction using an empirical linear...

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Abstract

The invention belongs to the field of remote sensing environment survey and particularly discloses a glacier recognition method based on airborne hyperspectral remote sensing data. The method comprises the steps that the acquired airborne hyperspectral remote sensing SASI data is subjected to data preprocessing to obtain hyperspectral radiance data and hyperspectral reflectivity data; the hyperspectral radiance data is subjected to atmospheric correction and spectral reconstruction to obtain floating-point type hyperspectral reflectivity data; the hyperspectral reflectivity data is subjected to data clipping according to a glacier distribution region, a characteristic waveband is selected, and waveband recombination is performed; the characteristic waveband of the hyperspectral data is judged, waveband operation is performed, an appropriate threshold value is selected, and a glacier distribution file is obtained; and the recognized glacier distribution file is converted into a vector file in a shape format, statistics is performed in ArcGIS software to calculate a glacier distribution area, and a glacier distribution diagram recognized in a remote sensing mode is obtained. Through the method, glacier recognition efficiency and precision are improved.

Description

technical field [0001] The invention belongs to the field of remote sensing environment investigation, and in particular relates to a glacier identification method based on aerial hyperspectral remote sensing data. Background technique [0002] Hyperspectral remote sensing technology is a cutting-edge technology in the field of remote sensing. It can obtain ground features in hundreds of bands and directly identify ground features based on spectral curve characteristics, which has played an important role in the application of remote sensing geology. At present, ETM and ASTER multispectral data are commonly used in glacier remote sensing identification, and high spatial resolution SPOT and ALOS data are used in some areas. These remote sensing data have a small number of bands and a small amount of spectral information, making it difficult to carry out high-precision glacier identification directly based on glacier spectral information. Contents of the invention [0003] ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/54
CPCG06V10/247G06V10/20G06F2218/18
Inventor 孙雨赵英俊秦凯田丰
Owner BEIJING RES INST OF URANIUM GEOLOGY
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