CN115900958A - Geothermal region judgment system and method based on thermal infrared hyperspectral remote sensing - Google Patents
Geothermal region judgment system and method based on thermal infrared hyperspectral remote sensing Download PDFInfo
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- CN115900958A CN115900958A CN202211554433.2A CN202211554433A CN115900958A CN 115900958 A CN115900958 A CN 115900958A CN 202211554433 A CN202211554433 A CN 202211554433A CN 115900958 A CN115900958 A CN 115900958A
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/10—Geothermal energy
Abstract
The invention discloses a geothermal region judgment system and a method based on thermal infrared hyperspectral remote sensing, wherein the judgment system comprises a region detection module, a hyperspectral sensor and a hyperspectral sensor, wherein the region detection module is used for carrying out region detection; the spectrum data acquisition module is used for acquiring hyperspectral thermal infrared data of the hyperspectral sensor; the spectrum data processing module is used for preprocessing spectrum thermal infrared data; the analysis and judgment module is used for identifying a geothermal region and the range of the geothermal region by adopting the Planck's law according to the preprocessed spectral thermal infrared data; and the temperature calibration module is used for verifying and correcting the geothermal area. According to the method, the geothermal area is judged by adopting the hyperspectral sensor, various analysis methods can be applied to the hyperspectral data by noise elimination and spectrum reconstruction of the hyperspectral data of the sensor, the temperature value corresponding to the spectrum frequency is calculated according to the Planck's law, and meanwhile, the calculated data is corrected by adopting the measured data, so that the accuracy of geothermal area identification is further improved.
Description
Technical Field
The invention belongs to the field of remote sensing identification, and particularly relates to a geothermal region judgment system and method based on thermal infrared hyperspectral remote sensing.
Background
Geothermal resources refer to geothermal energy, geothermal fluid and useful components thereof which can be developed and utilized by the crust of the earth under the current economic and technical conditions, and are clean energy. Compared with traditional fossil energy such as coal, petroleum and natural gas, geothermal energy has the advantages of being huge in quantity, renewable, free of environmental pollution, clean, environment-friendly, available on site and the like, but the exploration and development of geothermal resources have the characteristics of high investment, high risk and the like.
The hyperspectral remote sensing has a new characteristic different from the traditional remote sensing, mainly shows that the wave band is more, and can provide dozens, hundreds or even thousands of wave bands for each pixel; the spectral range is narrow, and the wave band range is generally less than 10nm; the wave bands are continuous, and some sensors can provide almost continuous ground object spectrums in the solar spectrum range of 350-2500 nm; the data volume is large, and the data volume exponentially increases along with the increase of the number of wave bands; information redundancy is increased, and since adjacent bands are highly correlated, redundant information is relatively increased.
Therefore, some image processing algorithms and technologies for traditional remote sensing data, such as feature selection and extraction, image classification, and the like, face challenges. Such as principal component analysis methods for feature extraction, maximum likelihood methods for classification, NDVI algorithms, etc., cannot be simply applied directly to hyperspectral data.
Disclosure of Invention
The invention aims to provide a geothermal area judgment system and method based on thermal infrared hyperspectral remote sensing, and aims to solve the problems in the prior art.
On one hand, the invention provides a geothermal region judgment system based on thermal infrared hyperspectral remote sensing, which comprises a region detection module, a spectrum data acquisition module, a spectrum data processing module, an analysis and judgment module and a temperature calibration module;
the area detection module is used for carrying a hyperspectral sensor to carry out area detection;
the spectrum data acquisition module is used for acquiring hyperspectral thermal infrared data of the hyperspectral sensor;
the spectrum data processing module is used for preprocessing the spectrum thermal infrared data;
the analysis and judgment module is used for identifying a geothermal region and the range of the geothermal region by adopting Planck's law according to the preprocessed spectral thermal infrared data;
the temperature calibration module is used for carrying out verification correction on the geothermal region.
Optionally, when the spectrum data acquisition module acquires the hyperspectral thermal infrared data, an infrared radiant spot thermometer is adopted to perform synchronous temperature measurement on the detection area, and the measured temperature is used as the check data of the hyperspectral thermal infrared data.
Optionally, the spectrum data processing module performs noise statistics on the hyperspectral thermal infrared data, deletes bands with large stripe noise, low signal-to-noise ratio and small difference in ground object radiation brightness, performs spectrum reconstruction on the hyperspectral thermal infrared data, converts the hyperspectral thermal infrared data into a ground surface reflection spectrum signal, and eliminates atmospheric influence.
Optionally, the analysis and judgment module obtains a frequency value of the converted surface reflection spectrum signal, obtains a radiation value corresponding to the frequency value according to planck's law, calculates a temperature value corresponding to each frequency value according to the radiation value, and identifies a geothermal region according to the temperature value;
the analysis and judgment module constructs a temperature distribution map of the detection area according to the temperature value, sets a temperature difference threshold value, acquires an adjacent area exceeding the temperature difference threshold value in the temperature distribution map, and takes the boundary of the adjacent area as the range of the geothermal area.
Optionally, the temperature calibration module obtains the measured temperature of the infrared radiant point thermometer, obtains an error value between the measured temperature and the calculated temperature of the analysis and judgment module by using a linear regression algorithm, and corrects the geothermal region according to the error value.
On the other hand, in order to achieve the above object, the invention provides a geothermal region determination method based on thermal infrared hyperspectral remote sensing, which comprises the following steps:
arranging a hyperspectral sensor in a detection area, and acquiring hyperspectral thermal infrared data of the hyperspectral sensor;
preprocessing the hyperspectral thermal infrared data;
identifying a geothermal region and the range of the geothermal region by adopting Planck's law based on the preprocessed hyperspectral thermal infrared data;
and carrying out verification correction on the geothermal region based on a linear regression algorithm.
Optionally, when hyperspectral thermal infrared data of the hyperspectral sensor are acquired, an infrared radiant spot thermometer is adopted to perform synchronous temperature measurement on the detection area, and the measured temperature is used as verification data of the hyperspectral thermal infrared data.
Optionally, the process of preprocessing the hyperspectral thermal infrared data includes:
and carrying out noise statistics on the hyperspectral thermal infrared data, deleting wave bands with large stripe noise, low signal-to-noise ratio and small ground object radiation brightness difference, carrying out spectrum reconstruction on the hyperspectral thermal infrared data, converting the hyperspectral thermal infrared data into a ground surface reflection spectrum signal, and eliminating atmospheric influence.
Optionally, the process of identifying the geothermal region and the range of the geothermal region by using planck's law includes:
acquiring a frequency value of the converted earth surface reflection spectrum signal, acquiring a radiation value corresponding to the frequency value based on Planck's law, calculating more corresponding temperature values of each section of frequency value according to the radiation value, and identifying a geothermal region according to the temperature values;
and constructing a temperature distribution map of the detection area based on the temperature value, setting a temperature difference threshold, acquiring an adjacent area exceeding the temperature difference threshold in the temperature distribution map, and taking the boundary of the adjacent area as the range of the geothermal area.
Optionally, the process of performing a verification correction on the geothermal region based on a linear regression algorithm includes:
the method comprises the steps of obtaining the measured temperature of an infrared radiant point thermometer, obtaining an error value of the measured temperature and the calculated temperature based on a linear regression algorithm, and correcting the geothermal region according to the error value.
The invention has the technical effects that:
according to the method, the geothermal region is judged by adopting the hyperspectral sensor, various analysis methods can be suitable for the hyperspectral data by eliminating the noise of the hyperspectral data of the sensor and reconstructing the spectrum, the temperature value corresponding to the spectrum frequency is calculated according to the Planck's law, and meanwhile, the calculated data is corrected by adopting the measured data, so that the accuracy of geothermal region identification is further improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
FIG. 1 is a structural diagram of a geothermal area determination system based on thermal infrared hyperspectral remote sensing in an embodiment of the invention;
fig. 2 is a flowchart of a geothermal region determination method based on thermal infrared hyperspectral remote sensing in an embodiment of the invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than here.
Example one
As shown in fig. 1, the present embodiment provides a geothermal region determination system based on thermal infrared hyperspectral remote sensing, which includes a region detection module, a spectral data acquisition module, a spectral data processing module, an analysis and judgment module, and a temperature calibration module;
the area detection module is used for carrying a hyperspectral sensor to carry out area detection, specifically, the area detection module comprises a mobile carrier used for carrying the hyperspectral sensor, the mobile carrier is provided with a satellite positioning and inertial navigation system, the position of the sensor when the sensor acquires a ground object reflectance spectrum can be accurately given, and height information of the sensor is given.
The spectrum data acquisition module is used for acquiring hyperspectral thermal infrared data of the hyperspectral sensor, synchronously measuring the temperature of the detection area by adopting an infrared radiant spot thermometer while acquiring the hyperspectral thermal infrared data, taking the measured temperature as check data of the hyperspectral thermal infrared data, and transmitting the spectrum data to the processing module after the spectrum data acquisition is finished.
The spectrum data processing module is used for carrying out noise statistics on the spectrum thermal infrared data, deleting wave bands with large stripe noise, low signal-to-noise ratio and small ground object radiation brightness difference in the pipe ditch data, carrying out spectrum reconstruction on the high spectrum thermal infrared data, converting the high spectrum thermal infrared data into a ground surface reflection spectrum signal, and eliminating atmospheric influence.
The purpose of the spectrum reconstruction of the hyperspectral remote sensing image is to eliminate the interference and influence of water vapor, oxygen, aerosol and other components in the earth atmosphere on the target ground object spectrum acquired by the sensor due to the absorption effect of the water vapor, the oxygen, the aerosol and other components on electromagnetic waves in a specific waveband. After spectral reconstruction, the radiation signals detected by the sensors are converted into surface reflection spectral signals.
The analysis and judgment module is used for identifying a geothermal region and the range of the geothermal region by adopting Planck's law according to the preprocessed spectral thermal infrared data; specifically, the method comprises the following steps: the analysis and judgment module acquires the frequency value of the converted earth surface reflection spectrum signal, acquires a radiation value corresponding to the frequency value according to the Planck's law, calculates a temperature value corresponding to each frequency value according to the radiation value, and identifies a geothermal region according to the temperature value.
After the temperature value is calculated, the analysis and judgment module accurately establishes a geographic coordinate system for the spectrum image according to geographic coordinate information and height information provided in the mobile carrier, meanwhile, a temperature distribution diagram of the detection area is established according to the temperature value, a temperature difference threshold value is set, an adjacent area exceeding the temperature difference threshold value in the temperature distribution diagram is obtained, and the boundary of the adjacent area is used as the range of the geothermal area.
The temperature calibration module is used for carrying out verification correction on the geothermal region. Specifically, the temperature calibration module obtains the measured temperature of the infrared radiant point thermometer, obtains an error value between the measured temperature and the calculated temperature of the analysis and judgment module by adopting a linear regression algorithm, and corrects the geothermal region according to the error value.
Example two
As shown in fig. 2, the present embodiment provides a geothermal region determination method based on thermal infrared hyperspectral remote sensing, including the following steps:
detecting a detection area based on a hyperspectral sensor, and acquiring hyperspectral thermal infrared data of the hyperspectral sensor;
preprocessing the spectral thermal infrared data;
identifying a geothermal region and a range of the geothermal region by using Planck's law based on the preprocessed spectral thermal infrared data;
and carrying out verification correction on the geothermal region based on a linear regression algorithm.
As a preferred embodiment of the application, when the hyperspectral thermal infrared data of the hyperspectral sensor are acquired, the infrared radiant spot thermometer is adopted to carry out synchronous temperature measurement on the detection area, and the measured temperature is used as the verification data of the hyperspectral thermal infrared data.
As a preferred embodiment of the present application, the process of preprocessing the spectral thermal infrared data includes:
and carrying out noise statistics on the hyperspectral thermal infrared data, deleting wave bands with large strip noise, low signal-to-noise ratio and small difference of ground feature radiation brightness, carrying out spectrum reconstruction on the hyperspectral thermal infrared data, converting the hyperspectral thermal infrared data into a ground surface reflection spectrum signal, and eliminating atmospheric influence.
As a preferred embodiment of the present application, the process of identifying the geothermal region and the range of the geothermal region using planck's law includes:
acquiring a frequency value of the converted earth surface reflection spectrum signal, acquiring a radiation value corresponding to the frequency value based on Planck's law, calculating more corresponding temperature values of each section of frequency value according to the radiation value, and identifying a geothermal region according to the temperature values;
and constructing a temperature distribution map of the detection area based on the temperature value, setting a temperature difference threshold value, acquiring an adjacent area exceeding the temperature difference threshold value in the temperature distribution map, and taking the boundary of the adjacent area as the range of the geothermal area.
As a preferred embodiment of the present application, the process of performing a verification correction on the geothermal region based on a linear regression algorithm includes:
acquiring the measured temperature of an infrared radiant point thermometer, acquiring an error value between the measured temperature and the calculated temperature based on a linear regression algorithm, and correcting the geothermal region according to the error value
It should be appreciated by those skilled in the art that the embodiments of the present invention may be provided as a system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The above description is only for the preferred embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A geothermal region judgment system based on thermal infrared hyperspectral remote sensing is characterized by comprising a region detection module, a spectral data acquisition module, a spectral data processing module, an analysis and judgment module and a temperature calibration module;
the area detection module is used for arranging a hyperspectral sensor on a detection area;
the spectrum data acquisition module is used for acquiring hyperspectral thermal infrared data of the hyperspectral sensor;
the spectral data processing module is used for preprocessing the spectral thermal infrared data;
the analysis and judgment module is used for identifying a geothermal region and the range of the geothermal region by adopting Planck's law according to the preprocessed spectral thermal infrared data;
the temperature calibration module is used for carrying out verification correction on the geothermal region.
2. The thermal infrared hyperspectral remote sensing-based geothermal area determination system according to claim 1, wherein the spectral data acquisition module acquires the hyperspectral thermal infrared data and simultaneously performs synchronous temperature measurement on the detection area by using an infrared radiant point thermometer, and the measured temperature is used as verification data of the hyperspectral thermal infrared data.
3. The thermal infrared hyperspectral remote sensing-based geothermal area determination system according to claim 1, wherein the spectral data processing module performs noise statistics on the hyperspectral thermal infrared data, deletes bands with large strip noise, low signal-to-noise ratio and small radiation value difference, performs spectral reconstruction on the hyperspectral thermal infrared data, converts the hyperspectral thermal infrared data into surface reflection spectral signals, and eliminates atmospheric influence.
4. The system for determining the geothermal region based on the thermal infrared hyperspectral remote sensing according to claim 1, wherein the analysis and judgment module obtains a frequency value of a converted earth surface reflection spectrum signal, obtains a radiation value corresponding to the frequency value according to the Planck's law, calculates temperature values corresponding to frequency values of each section according to the radiation value, and identifies the geothermal region according to the temperature values;
the analysis and judgment module constructs a temperature distribution map of the detection area according to the temperature value, sets a temperature difference threshold value, acquires an adjacent area exceeding the temperature difference threshold value in the temperature distribution map, and takes the boundary of the adjacent area as the range of the geothermal area.
5. The geothermal area determination system based on thermal infrared hyperspectral remote sensing according to claim 1, wherein the temperature calibration module obtains the measured temperature of the infrared radiant point thermometer, obtains an error value between the measured temperature and the calculated temperature of the analysis and judgment module by adopting a linear regression algorithm, and corrects the geothermal area according to the error value.
6. A geothermal region judgment method based on thermal infrared hyperspectral remote sensing is characterized by comprising the following steps:
detecting a detection area based on a hyperspectral sensor, and acquiring hyperspectral thermal infrared data of the hyperspectral sensor;
preprocessing the hyperspectral thermal infrared data;
identifying a geothermal region and the range of the geothermal region by adopting Planck's law based on the preprocessed hyperspectral thermal infrared data;
and carrying out verification correction on the geothermal region based on a linear regression algorithm.
7. The method for determining the geothermal area based on the thermal infrared hyperspectral remote sensing according to claim 6 is characterized in that the hyperspectral thermal infrared data of the hyperspectral sensor are acquired, an infrared radiant spot thermometer is adopted to measure the temperature of the detection area synchronously, and the measured temperature is used as the check data of the hyperspectral thermal infrared data.
8. The geothermal area determination method based on thermal infrared hyperspectral remote sensing according to claim 6, wherein the process of preprocessing the hyperspectral thermal infrared data comprises:
and carrying out noise statistics on the hyperspectral thermal infrared data, deleting wave bands with large strip noise, low signal-to-noise ratio and small difference of ground feature radiation brightness, carrying out spectrum reconstruction on the hyperspectral thermal infrared data, converting the hyperspectral thermal infrared data into a ground surface reflection spectrum signal, and eliminating atmospheric influence.
9. The method for determining the geothermal area based on the thermal infrared hyperspectral remote sensing according to claim 6, wherein the process of identifying the geothermal area and the range of the geothermal area by using Planck's law comprises:
acquiring a frequency value of the converted earth surface reflection spectrum signal, acquiring a radiation value corresponding to the frequency value based on Planck's law, calculating more corresponding temperature values of each section of frequency value according to the radiation value, and identifying a geothermal region according to the temperature values;
and constructing a temperature distribution map of the detection area based on the temperature value, setting a temperature difference threshold value, acquiring an adjacent area exceeding the temperature difference threshold value in the temperature distribution map, and taking the boundary of the adjacent area as the range of the geothermal area.
10. The geothermal region determination method based on thermal infrared hyperspectral remote sensing according to claim 6, wherein the process of performing the verification correction on the geothermal region based on the linear regression algorithm comprises:
the method comprises the steps of obtaining the measured temperature of an infrared radiant point thermometer, obtaining an error value of the measured temperature and the calculated temperature based on a linear regression algorithm, and correcting the geothermal region according to the error value.
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