Multi-source distribution type remote sensing distinguishing method and system for geothermal resources

Abstract

The invention relates to a multi-source distribution type remote sensing distinguishing method and system for geothermal resources. The multi-source distribution type remote sensing distinguishing method for the geothermal resources comprises a data acquisition step which is used for obtaining multi-source remote sensing images; a data processing step which comprises performing color coding and mapping processing on multispectral remote sensing image data through a temperature and emissivity separation algorithm to obtain temperature color coding image information; establishing a geologic structure interpretation sign of the geothermal resources for radar remote sensing image data and performing geologic structure interpretation on the radar remote sensing image data; a data integration step, namely performing superposition, projection transformation and rectification on three routes of information obtained from the data processing step, integrating to obtain positions of the geothermal resources and achieving multi-source distribution type remote sensing distinguishing of the geothermal resources. The multi-source distribution type remote sensing distinguishing method for the geothermal resources achieves accurate distinction of the geothermal resources due to processing, interpretation and integration of the multi-source remote sensing image data.

Description

Technical field [0001] The invention relates to the field of remote sensing technology and application, in particular to a multi-source distributed remote sensing discrimination method and system suitable for geothermal resources. Background technique [0002] Geothermal resources are a new type of energy and resource that can be regenerated and reused. It is generally believed that geothermal resources originate from the lava and the decay of radioactive elements in the deep earth. Groundwater circulation, capillary action, fractures, magmatic activity, etc. can bring heat energy from the underground to the surface, forming a thermal gradient on the surface and a certain depth of the underground. The parameters of the thermal emissivity and temperature of the surface material detected by thermal infrared remote sensing technology are used to use heat. The temperature and emissivity separation algorithm of infrared remote sensing can quickly detect the surface temperature, and th...

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Problems solved by technology

[0004] The present invention aims at the prior art by combining geological interpretation and temperature interpretation of multi-spectral remote sensing image data to carry out remote sensing research on geothermal resources, only the fault structure on the surface can be obtained, resulting in unsatisfactory application effect and mutual verification of remote sensing image data. As well as the problem of low identification accuracy, a multi-source distributed remote sensing identification method for geothermal resources is provided, and the accurate identification of geothermal resources is realized through the processing, interpretation and integration of multi-source remote sensing image data

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