Region identification method and device, storage medium and electronic equipment
Through the interpretation and correction of satellite remote sensing image data, the geological areas that exist in sandstone-type uranium ore that are transformed into ore are identified, which solves the problem of inefficient identification of ore search in traditional methods and improves exploration efficiency.
Patent Information
- Application Number
- CN202311742916.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-12-18
- Publication Date
- 2025-06-20
AI Technical Summary
In sandstone uranium exploration, the traditional view of interlayer oxidation zones has nothing to do with deep geological effects, resulting in low identification and exploration efficiency.
By obtaining satellite remote sensing image data in the target area, remote sensing interpretation marks, including linear fracture marks, fold structure marks and local drainage belt marks, and correcting them to identify the geological areas transformed into ore effects.
The efficiency of identification and exploration in sandstone-type uranium ore exploration is improved, and the target geological area is determined by combining fault structure identification, which enhances the ability to identify deep mineralization.
Smart Images
Figure CN120182840A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the technical field of geological exploration, and in particular, to a method, apparatus, storage medium, and electronic device for regional identification. Background Art
[0002] Sandstone uranium ore is the main target type in current uranium ore geological work. In the related art, the exploration of sandstone-type uranium ore mainly starts from the theoretical model and prospecting idea based on the traditional view of interlayer oxidation zone. Among them, the traditional view of the interlayer oxidation zone believes that the uranium mineralization process is completely a shallow process and has nothing to do with deep geological processes.
[0003] However, with the continuous exploration and in-depth research on sandstone-type uranium ore, it is found that there are fracture structures controlling the output of industrial uranium ore in the main sandstone-type uranium ore areas, and it is found that there are phenomena of deep reducing fluids and mineralization along the fracture zones, which do not match the introduced theoretical model and prospecting idea, resulting in low efficiency in the exploration and identification of sandstone-type uranium ore. Summary of the Invention
[0004] The purpose of the present disclosure is to provide a method, apparatus, storage medium, and electronic device for regional identification.
[0005] To achieve the above purpose, in a first aspect, the present disclosure provides a method for regional identification, the method comprising: Obtaining satellite remote sensing image data of a target area; Determining a remote sensing interpretation mark of the target area according to the satellite remote sensing image data, the remote sensing interpretation mark being used to characterize a geological area in the target area where there is a remobilization mineralization process, the remote sensing interpretation mark including a linear fracture mark, a fold structure mark, and a local discharge zone mark; Modifying the remote sensing interpretation mark to obtain a target remote sensing interpretation mark; Interpretively identifying the target area according to the target remote sensing interpretation mark to identify a target geological area in the target area where there is a remobilization mineralization process.
[0006] Optionally, the determining the remote sensing interpretation mark of the target area according to the satellite remote sensing image data includes: Determining the linear fracture mark, the fold structure mark, and the local discharge zone mark of the target area according to the satellite remote sensing image data; Determining the remote sensing interpretation mark of the target area according to the linear fracture mark, the fold structure mark, and the local discharge zone mark.
[0007] Optionally, the modifying the remote sensing interpretation mark to obtain a target remote sensing interpretation mark: Determine that there is an area of micro-hydrocarbon leakage of oil and gas within the target area; Use the remote sensing interpretation marks within the area of micro-hydrocarbon leakage of oil and gas as the first target remote sensing interpretation marks; Modify the first target remote sensing interpretation marks to obtain the target remote sensing interpretation marks.
[0008] Optionally, the determining that there is an area of micro-hydrocarbon leakage of oil and gas within the target area includes: Obtain the hyperspectral image of the target area; Determine the oxide enrichment area and the mineral enrichment area within the target area according to the hyperspectral image; Determine that there is an area of micro-hydrocarbon leakage of oil and gas within the target area according to the oxide enrichment area and the mineral enrichment area.
[0009] Optionally, the modifying the first target remote sensing interpretation marks to obtain the target remote sensing interpretation marks includes: Obtain the gamma energy spectrum data information of multiple first sub-areas, and the area of micro-hydrocarbon leakage of oil and gas includes multiple first sub-areas; Modify the first target remote sensing interpretation marks according to the gamma energy spectrum data information to obtain the target remote sensing interpretation marks.
[0010] Optionally, the modifying the first target remote sensing interpretation marks according to the gamma energy spectrum data information to obtain the target remote sensing interpretation marks includes: Determine a first target sub-area from the multiple first sub-areas according to the gamma energy spectrum data information, and the first target sub-area is used to represent an area where the uranium content is greater than the preset Clarke value; Determine the target remote sensing interpretation marks from within the first target sub-area.
[0011] Optionally, the obtaining the satellite remote sensing image data of the target area includes: Obtain the original remote sensing image of the target area, and obtain the geological information of the target area, where the geological information is used to represent the formation information and uranium ore information of the target area; Perform spatial registration processing on the geological information to obtain a target geological image, and the target geological image is an image with the same coordinates as the original remote sensing image; Perform preprocessing on the original remote sensing image to obtain a preprocessed target remote sensing image; Determine the satellite remote sensing image data according to the target remote sensing image and the target geological image.
[0012] In a second aspect, the present disclosure provides a device for area recognition, and the device includes: An acquisition module for acquiring satellite remote sensing image data of a target area; A determination module for determining, based on the satellite remote sensing image data, a remote sensing interpretation mark of the target area, where the remote sensing interpretation mark is used to characterize a geological area with ore-forming transformation in the target area, and the remote sensing interpretation mark includes a linear fracture mark, a fold structure mark, and a local discharge zone mark; A correction module for correcting the remote sensing interpretation mark to obtain a target remote sensing interpretation mark; An identification module for interpreting and identifying the target area according to the target remote sensing interpretation mark to identify a target geological area with ore-forming transformation in the target area.
[0013] Optionally, the determination module includes: A first determination sub-module for determining, based on the satellite remote sensing image data, a linear fracture mark, a fold structure mark, and a local discharge zone mark of the target area; A second determination sub-module for determining the remote sensing interpretation mark of the target area according to the linear fracture mark, the fold structure mark, and the local discharge zone mark.
[0014] Optionally, the correction module includes: A third determination sub-module for determining an area with micro-hydrocarbon leakage of oil and gas in the target area; A fourth determination sub-module for using the remote sensing interpretation mark in the area with micro-hydrocarbon leakage of oil and gas as a first target remote sensing interpretation mark; A correction sub-module for correcting the first target remote sensing interpretation mark to obtain the target remote sensing interpretation mark.
[0015] Optionally, the third determination sub-module is for acquiring a hyperspectral image of the target area; Determining an oxide enrichment area and a mineral enrichment area in the target area according to the hyperspectral image; Determining an area with micro-hydrocarbon leakage of oil and gas in the target area according to the oxide enrichment area and the mineral enrichment area.
[0016] Optionally, the correction sub-module is for acquiring gamma energy spectrum data information of a plurality of first sub-areas, where the area with micro-hydrocarbon leakage of oil and gas includes a plurality of first sub-areas; Correcting the first target remote sensing interpretation mark according to the gamma energy spectrum data information to obtain the target remote sensing interpretation mark.
[0017] Optionally, the correction sub-module is configured to determine a first target sub-region from the multiple first sub-regions according to the gamma energy spectrum data information, where the first target sub-region is used to characterize a region with uranium content greater than a preset Clarke value; Determine the target remote sensing interpretation mark from within the first target sub-region.
[0018] Optionally, the acquisition module includes: An acquisition sub-module, configured to acquire an original remote sensing image of a target region and acquire geological information of the target region, where the geological information is used to characterize the stratigraphic information and uranium ore information of the target region; A registration sub-module, configured to perform spatial registration processing on the geological information to obtain a target geological image, where the target geological image is an image with the same coordinates as the original remote sensing image; A preprocessing sub-module, configured to preprocess the original remote sensing image to obtain a preprocessed target remote sensing image; A fifth determination sub-module, configured to determine satellite remote sensing image data according to the target remote sensing image and the target geological image.
[0019] In a third aspect, the present disclosure provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the method shown in any optional manner of the first aspect are implemented.
[0020] In a fourth aspect, the present disclosure provides an electronic device, including: A memory, on which a computer program is stored; A processor, configured to execute the computer program in the memory to implement the steps of the method shown in any optional manner of the first aspect.
[0021] Through the above technical solutions, satellite remote sensing image data of a target region is acquired; according to the satellite remote sensing image data, remote sensing interpretation marks of the target region are determined, where the remote sensing interpretation marks are used to characterize geological regions with reworking mineralization in the target region, and the remote sensing interpretation marks include linear fracture marks, fold structure marks, and local discharge zone marks; the remote sensing interpretation marks are corrected to obtain target remote sensing interpretation marks; according to the target remote sensing interpretation marks, the target region is interpreted and identified to identify target geological regions with reworking mineralization in the target region. In this way, remote sensing interpretation marks can be determined through satellite remote sensing image data to obtain geological regions with reworking mineralization in the target region, and the target geological regions can be determined by correcting the remote sensing interpretation marks, which can realize the identification of target geological regions with reworking mineralization in the target region by combining fracture structure identification, thereby improving the efficiency of prospecting and identifying sandstone-type uranium deposits.
[0022] Other features and advantages of the present disclosure will be described in detail in the following detailed implementation section. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] The accompanying drawings are used to provide a further understanding of the present disclosure, and constitute a part of the specification. Together with the following detailed implementation, they are used to explain the present disclosure, but do not constitute a limitation to the present disclosure. In the accompanying drawings: Figure 1 is a flowchart of a method for area recognition shown according to an exemplary embodiment.
[0024] Figure 2 is a flowchart of another method for area recognition shown according to an exemplary embodiment.
[0025] Figure 3 is a block diagram of a device for area recognition shown according to an exemplary embodiment.
[0026] Figure 4 is according to Figure 3 shown in the embodiment is a block diagram of a determination module.
[0027] Figure 5 is according to Figure 3 shown in the embodiment is a block diagram of a correction module.
[0028] Figure 6 is according to Figure 3 shown in the embodiment is a block diagram of a correction module.
[0029] Figure 7 is a block diagram of an electronic device shown according to an exemplary embodiment. DETAILED IMPLEMENTATION
[0030] The following is a detailed description of the specific implementation of the present disclosure in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.
[0031] It should be noted that all actions of obtaining signals, information or data in the present disclosure are carried out on the premise of complying with the corresponding data protection regulations and policies of the country where it is located, and with the authorization given by the owner of the corresponding device.
[0032] Before introducing the specific embodiments of the present disclosure in detail, the application scenarios of the present disclosure will be described first. The present disclosure can be applied to the scenario of prospecting for sandstone-type uranium deposits. At present, sandstone uranium deposits are the main target types in uranium geological work. At present, the exploration of sandstone-type uranium deposits mainly starts from the theoretical models and prospecting ideas of sandstone-type uranium deposits introduced according to the traditional interlayer oxidation zone concept. Among them, the traditional interlayer oxidation zone concept believes that the uranium mineralization process is completely a shallow process and has nothing to do with deep geological processes. According to this view, in the exploration of related sandstone-type uranium deposits, only the research on sedimentary systems and uranium mineralization characteristics is often emphasized, while the research on faults and deep fluids caused by faults has not been taken seriously.
[0033] However, with the continuous exploration and in-depth research on sandstone-type uranium deposits, it is found that this introduced traditional sandstone-type uranium mineralization model is rarely seen, and in fact, there are fault structures controlling the output of industrial uranium deposits in the main sandstone-type uranium mining areas, and the phenomenon of deep reducing fluids and mineralization along the fault zones is found. Therefore, when prospecting for sandstone-type uranium deposits in craton basins, not only should we pay attention to the research on sedimentary systems, oxidation zones and uranium mineralization characteristics, but also pay attention to the research on structures, deep fluids and alteration phenomena, etc. The latter has often been ignored or not taken seriously enough under the influence of traditional theories in the past.
[0034] To overcome the technical problems existing in the above related technologies, the present disclosure provides a method, device, storage medium and electronic device for regional identification. Through the above technical solutions, satellite remote sensing image data of a target area is obtained; according to the satellite remote sensing image data, a remote sensing interpretation mark of the target area is determined, and the remote sensing interpretation mark is used to characterize the geological area in the target area where there is a transformation mineralization process. The remote sensing interpretation mark includes a linear fault mark, a fold structure mark, and a local discharge zone mark; the remote sensing interpretation mark is corrected to obtain a target remote sensing interpretation mark; according to the target remote sensing interpretation mark, the target area is interpreted and identified to identify the target geological area in the target area where there is a transformation mineralization process. In this way, the remote sensing interpretation mark can be determined through satellite remote sensing image data to obtain the geological area in the target area where there is a transformation mineralization process, and the target geological area can be determined by correcting the remote sensing interpretation mark, which can realize the determination and identification of the target geological area in the target area where there is a transformation mineralization process by combining the fault structure identification, thereby improving the efficiency of prospecting for sandstone-type uranium deposits.
[0035] The following describes the present disclosure in conjunction with specific embodiments.
[0036] Figure 1 is a flowchart of a method for regional identification shown according to an exemplary embodiment, as Figure 1 shown, the method includes the following steps.
[0037] In step S101, satellite remote sensing image data of the target area is acquired.
[0038] In some implementations, the original remote sensing image of the target area can be acquired first, and the geological information of the target area can be obtained.
[0039] Among them, the geological information is used to characterize the formation information and uranium ore information of the target area.
[0040] Exemplarily, the original remote sensing image of the target area can be acquired first through the Landsat 8 satellite. The Landsat 8 satellite is the eighth satellite in the Landsat series of satellites, and the Landsat series of satellites are the launched satellites in the Landsat program of the National Aeronautics and Space Administration (NASA) of the United States.
[0041] And the geological information of the target area can be obtained through a preset database. Specifically, relevant uranium ore geological maps (including formation and uranium ore information) of the target area can be collected through the preset database, mainly vector data. Among them, the target area can include basins, such as the Qaidam Basin.
[0042] Then, the geological information can be subjected to spatial registration processing to obtain a target geological image.
[0043] Among them, the target geological image is an image with the same coordinates as the original remote sensing image.
[0044] Optionally, the acquired geological information data can be subjected to spatial registration and projection coordinate system conversion based on the ArcGis software to make its coordinates consistent with those of the Landsat 8 remote sensing image.
[0045] Secondly, the original remote sensing image can be preprocessed to obtain a preprocessed target remote sensing image.
[0046] Optionally, the Landsat 8 remote sensing image can be preprocessed first based on the ENVI5.3 software. The preprocessing can include denoising, radiometric calibration, Flaash atmospheric correction, image fusion, image mosaicking, band selection, etc. Then, a preprocessed target remote sensing image can be obtained.
[0047] In addition, for the preprocessed Landsat 8 remote sensing image, image enhancement can also be performed based on the ENVI5.3 software. The image enhancement processing can include contrast (or variance) stretching, band ratio method, principal component analysis method, intensity-hue-saturation (IHS), color space transformation, etc. The main purpose of image enhancement is to highlight the fracture structure features in the image and improve the effect of fracture recognition.
[0048] Finally, based on the target remote sensing image and the target geological image, satellite remote sensing image data can be determined.
[0049] In step S102, based on the satellite remote sensing image data, remote sensing interpretation marks of the target area are determined.
[0050] Among them, the remote sensing interpretation marks are used to characterize the geological areas with ore-forming transformation in the target area; the remote sensing interpretation marks include linear fracture marks, fold structure marks, and local drainage zone marks.
[0051] In some embodiments, the linear fracture marks, fold structure marks, and local drainage zone marks of the target area can be determined first based on the satellite remote sensing image data.
[0052] Optionally, after obtaining the satellite remote sensing image data, the satellite remote sensing image data can be interpreted and analyzed according to features such as linear valleys, sharp turns of rivers, offset of geological bodies, mutation of geomorphic units, beaded saddle ridges, Longgang topography, diamond-shaped blocks, regular changes in water systems and spring points, and zonal anomalies of soil vegetation, so as to determine linear fracture marks in the satellite remote sensing image data; and the satellite remote sensing image data can be interpreted and analyzed according to the symmetry or bending of rock layer images to obtain fold structure marks; and the satellite remote sensing image data can be interpreted according to features such as surface tone anomalies, water bodies, and abnormally growing vegetation, and then the water-rich areas can be predicted based on the hydrogeological characteristics and topography of the study area, and local drainage zone marks can be obtained at the water-rich areas.
[0053] Then, based on the linear fracture marks, the fold structure marks, and the local drainage zone marks, the remote sensing interpretation marks of the target area are determined.
[0054] In step S103, the remote sensing interpretation marks are corrected to obtain target remote sensing interpretation marks.
[0055] In some embodiments, it can be first determined that there are oil and gas micro-hydrocarbon leakage areas in the target area.
[0056] Optionally, the hyperspectral image of the target area can be obtained first.
[0057] Exemplarily, the GF-5 hyperspectral image of the target area can be obtained and preprocessed.
[0058] For example, the preprocessing steps for data band selection of hyperspectral data can be as follows: By checking each band, bad bands and strong water vapor absorption bands are removed, and then the data after removal are radiometrically calibrated, stripe-removed, Flaash atmospheric corrected, and orthorectified based on ENVI 5.3 software. After data preprocessing, the ground reflectance of the ground objects is obtained.
[0059] Then, the oxide enrichment area and mineral enrichment area within the target area can be determined according to the hyperspectral image.
[0060] Exemplarily, based on the preprocessed hyperspectral image and ENVI 5.3 software, the ground measured spectra of hematitized or limonitized sandstone in the target area can be selected as the spectral reference endmember of Fe 3+ oxide, and the spectral feature matching algorithm is used to perform spectral analysis on the reference endmember and the GF-5 image spectrum, and finally the distribution range of Fe 3+ oxide is identified; and based on the preprocessed hyperspectral image and ENVI 5.3 software, the ground measured spectra of pyritized or magnetitized sandstone in the target area can be selected as the spectral reference endmember of Fe 2+ oxide, and the spectral feature matching algorithm is used to perform spectral analysis on the reference endmember and the GF-5 image spectrum, and finally the distribution range of Fe 2+ oxide is identified, and the distribution range of Fe 3+ oxide and the distribution range of Fe 2+ oxide are used as the oxide enrichment area within the target area.
[0061] Also, based on the preprocessed hyperspectral image and ENVI 5.3 software, the ground measured spectra of kaolin and dolomite minerals in the target area can be selected as the spectral reference endmembers of clay mineralization and carbonatization minerals respectively, and the spectral feature matching algorithm is used to perform spectral analysis on the reference endmember and the GF-5 image spectrum, and finally the distribution ranges of clay mineralization minerals and carbonatization minerals are identified, and the distribution ranges of clay mineralization minerals and carbonatization minerals are used as the mineral enrichment area within the target area.
[0062] Secondly, based on the oxide enrichment area and the mineral enrichment area, the area with micro hydrocarbon leakage of oil and gas within the target area can be determined.
[0063] Considering that under oxidation conditions, uranium is easily soluble in water to form uranyl ions for transportation, and it has strong migration ability; underground deep fluids (gas, water, oil, etc.) are all reducing, and hexavalent uranium in uranium-containing and oxygen-containing water near fractures will be reduced to tetravalent uranium by deep fluids, resulting in uranium precipitation. At the same time, organic matter, clay minerals, carbonate minerals, iron, etc. also have an adsorption and aggregation effect on uranium compounds.
[0064] Therefore, the uranium migration or enrichment situation can be calculated by using the amount of activated uranium migration, and its calculation formula is as follows: Fu = U - Gui; In the formula, Fu is the migration amount of activated uranium at the sampling point; U is the measured uranium content at the sampling point; Gui is the initial uranium content at the sampling point.
[0065] The oil and gas micro-hydrocarbon leakage area is a relatively reducing environment, and uranium should be the immigration area. The relative deviation value (Fu) of uranium is positive, corresponding to the Fe 2+ oxide enrichment area and the clay mineralization and carbonate mineralization enrichment areas, where uranium is mainly enriched; in the uranium emigration area, the relative deviation value (Fu) of uranium should be negative, corresponding to the Fe 3+ oxide enrichment area, indicating that uranium in this area is mainly oxidized and migrated.
[0066] Therefore, the remote sensing interpretation mark in the oil and gas micro-hydrocarbon leakage area can be used as the first target remote sensing interpretation mark.
[0067] Secondly, the first target remote sensing interpretation mark is corrected to obtain the target remote sensing interpretation mark.
[0068] In some embodiments, the first target remote sensing interpretation mark can be corrected in the following manner to obtain the target remote sensing interpretation mark.
[0069] Specifically, the gamma energy spectrum data information can be used to correct the first target remote sensing interpretation mark to obtain the target remote sensing interpretation mark.
[0070] Optionally, first obtain the gamma energy spectrum data information of multiple first sub-regions, and the oil and gas micro-hydrocarbon leakage area includes multiple first sub-regions.
[0071] Then, according to the gamma energy spectrum data information, the first target remote sensing interpretation mark can be corrected to obtain the target remote sensing interpretation mark.
[0072] Exemplarily, according to the gamma energy spectrum data information, a first target sub-region can be determined from the multiple first sub-regions, and the first target sub-region is used to represent the region where the uranium content is greater than the preset Clark value; then the target remote sensing interpretation mark is determined from within the first target sub-region.
[0073] First, the uranium-rich layer can be determined.
[0074] Specifically, considering the stability of thorium in the earth's crust, therefore, based on the stability of thorium in the earth's crust, the initial uranium content when each stratum rock mass was formed can be generally calculated, and it can roughly infer the uranium source conditions of the erosion source area and sedimentary strata.
[0075] The formula for calculating the paleo-uranium content is as follows: Gui = Thi × (U / Th); Wherein, Gui is the initial uranium content of the sampling point; Thi is the measured thorium content of the sampling point; (U / Th) is the uranium-thorium ratio of the geological unit where the sampling point is located.
[0076] According to the enrichment degree of uranium content in the geological body relative to the uranium Clarke value, the geological body with uranium content greater than 1.5 times the Clarke value is a uranium-rich geological body. In this case, the Clarke value of uranium is taken as 2.5×10 -6 . Therefore, the geological body with ancient uranium content greater than 3.75×10 -6 is a uranium-rich geological body.
[0077] In this step, gamma-ray spectrometry data also needs to be obtained. Then, based on the ArcGis software, the gamma-ray spectrometry data is converted into raster data, and spatial registration processing is performed on the gamma-ray spectrometry data to obtain gamma-ray spectrometry data with coordinates consistent with the Landsat 8 remote sensing image and the GF-5 hyperspectral image.
[0078] Then, according to the preprocessed gamma-ray spectrometry data, the ancient uranium content is calculated according to the ancient uranium content formula. The area with ancient uranium content greater than 3.75×10 -6 is taken as the ancient uranium high-value area. Then, the ancient uranium high-value area and the above-obtained target geological image are subjected to composite analysis, and uranium-rich strata are selected from the target geological image.
[0079] Then, the remote sensing interpretation marks corresponding to the overlapping part of the oil and gas micro-hydrocarbon leakage area and the area of the uranium-rich strata can be used as the target remote sensing interpretation marks.
[0080] In step S104, according to the target remote sensing interpretation marks, the target area is interpreted and identified to identify the target geological area with ore-forming transformation in the target area.
[0081] In some embodiments, the identification of the target geological area can also be achieved in the following way.
[0082] First, linear fracture interpretation can be performed on the Landsat 8 remote sensing image to determine the basin linear fracture, fold structure, and local drainage zone. And according to the GF-5 hyperspectral image, the oxide enrichment area and the mineral enrichment area are analyzed and determined. The mineral enrichment area includes the clayification and carbonatization mineral enrichment areas. And according to the oxide enrichment area and the mineral enrichment area, the oil and gas micro-hydrocarbon leakage area in the target area is determined, and the uranium-rich strata can also be selected according to the gamma-ray spectrometry data information.
[0083] Secondly, the linear fractures, fold structures, and local discharge zones determined by the interpretation of remote sensing images in the basin can be combined with the identified micro-hydrocarbon leakage areas of oil and gas. The penetrating fractures with local discharge effects, the micro-hydrocarbon leakage areas of oil and gas, and the composite sections of areas enriched in clayified and carbonatized minerals are judged as tectonic-uranium precipitation enrichment geochemical variation zones. Then, the tectonic-uranium precipitation enrichment geochemical variation zones can be analyzed, and the sections where the uranium-rich strata, ore-controlling structures, and tectonic-uranium precipitation enrichment geochemical variation zones are combined are judged as the target geological areas, that is, the reformation structures for sandstone-type uranium mineralization.
[0084] Through the above technical solution, satellite remote sensing image data of the target area is obtained; based on the satellite remote sensing image data, the remote sensing interpretation marks of the target area are determined, and the remote sensing interpretation marks are used to characterize the geological areas with reformation and mineralization effects in the target area. The remote sensing interpretation marks include linear fracture marks, fold structure marks, and local discharge zone marks; the remote sensing interpretation marks are corrected to obtain the target remote sensing interpretation marks; based on the target remote sensing interpretation marks, the target area is interpreted and identified to identify the target geological areas with reformation and mineralization effects in the target area. In this way, the remote sensing interpretation marks can be determined through satellite remote sensing image data to obtain the geological areas with reformation and mineralization effects in the target area, and the target geological areas can be determined by correcting the remote sensing interpretation marks, and it is possible to identify the target geological areas with reformation and mineralization effects in the target area by combining fracture structure identification, thereby improving the efficiency of exploration and identification of sandstone-type uranium deposits.
[0085] Figure 2 It is a flowchart of another method for area identification shown according to an exemplary embodiment, as Figure 2 shown, and the method includes the following steps.
[0086] In step S201, satellite remote sensing image data of the target area is obtained.
[0087] In some embodiments, the original remote sensing image of the target area and the geological information of the target area can be obtained first, and the geological information is used to characterize the stratigraphic information and uranium ore information of the target area; then the geological information is subjected to spatial registration processing to obtain a target geological image, and the target geological image is an image with the same coordinates as the original remote sensing image; then the original remote sensing image is preprocessed to obtain a preprocessed target remote sensing image; secondly, the satellite remote sensing image data can be determined based on the target remote sensing image and the target geological image.
[0088] In step S202, based on the satellite remote sensing image data, the linear fracture marks, fold structure marks, and local discharge zone marks of the target area are determined.
[0089] Optionally, after obtaining the satellite remote sensing image data, the satellite remote sensing image data can be interpreted and analyzed according to features such as linear valleys, sharp turns of rivers, offset geological bodies, abrupt changes in geomorphic units, beaded saddle ridges, Longgang topography, rhombic blocks, regular changes in water systems and spring points, and zonal anomalies in soil vegetation, etc., so as to determine linear fracture marks in the satellite remote sensing image data; and the satellite remote sensing image data can be interpreted and analyzed according to the symmetry or bending of rock layer images to obtain fold structure marks; and interpretation can be carried out according to features such as surface tone anomalies, water bodies, and abnormally growing vegetation, and then based on the hydrogeological characteristics and topographic and geomorphic analysis of the study area, water-rich areas can be predicted, and local discharge zone marks can be obtained at the water-rich areas.
[0090] In step S203, according to the linear fracture mark, the fold structure mark, and the local discharge zone mark, determine the remote sensing interpretation mark of the target area.
[0091] In step S204, determine that there is an oil and gas micro-hydrocarbon leakage area in the target area.
[0092] In some embodiments, a hyperspectral image of the target area can be obtained first; then, according to the hyperspectral image, the oxide enrichment area and the mineral enrichment area in the target area can be determined; and then, based on the oxide enrichment area and the mineral enrichment area, it can be determined that there is an oil and gas micro-hydrocarbon leakage area in the target area.
[0093] In step S205, use the remote sensing interpretation mark in the oil and gas micro-hydrocarbon leakage area as the first target remote sensing interpretation mark.
[0094] In step S206, correct the first target remote sensing interpretation mark to obtain the target remote sensing interpretation mark.
[0095] In some implementations, gamma energy spectrum data information of multiple first sub-areas can be obtained, and the oil and gas micro-hydrocarbon leakage area includes multiple first sub-areas; according to the gamma energy spectrum data information, correct the first target remote sensing interpretation mark to obtain the target remote sensing interpretation mark.
[0096] Optionally, according to the gamma energy spectrum data information, a first target sub-area can be determined from the multiple first sub-areas, and the first target sub-area is used to represent an area where the uranium content is greater than the preset Clark value; then, the target remote sensing interpretation mark can be determined from within the first target sub-area.
[0097] In step S207, according to the target remote sensing interpretation mark, interpret and identify the target area to identify the target geological area with reworking mineralization in the target area.
[0098] Figure 3It is a block diagram of a device for area recognition shown according to an exemplary embodiment. Referring to Figure 3 , the area recognition device 300 includes an acquisition module 301, a determination module 302, a correction module 303, and an identification module 304.
[0099] The acquisition module 301 is configured to acquire satellite remote sensing image data of a target area; The determination module 302 is configured to determine a remote sensing interpretation mark of the target area according to the satellite remote sensing image data, and the remote sensing interpretation mark is used to characterize a geological area with ore-forming transformation in the target area; The correction module 303 is configured to correct the remote sensing interpretation mark to obtain a target remote sensing interpretation mark; The identification module 304 is configured to perform interpretation and identification on the target area according to the target remote sensing interpretation mark to identify a target geological area with ore-forming transformation in the target area.
[0100] Figure 4 It is according to Figure 3 shown in the embodiment, a block diagram of a determination module. Referring to Figure 4 , the determination module 302 includes: The first determination sub-module 3021 is configured to determine a linear fracture mark, a fold structure mark, and a local discharge zone mark of the target area according to the satellite remote sensing image data; The second determination sub-module 3022 is configured to determine the remote sensing interpretation mark of the target area according to the linear fracture mark, the fold structure mark, and the local discharge zone mark.
[0101] Figure 5 It is according to Figure 3 shown in the embodiment, a block diagram of a correction module. Referring to Figure 5 , the correction module 303 includes: The third determination sub-module 3031 is configured to determine an area with oil and gas micro-hydrocarbon leakage in the target area; The fourth determination sub-module 3032 is configured to use the remote sensing interpretation mark in the area with oil and gas micro-hydrocarbon leakage as a first target remote sensing interpretation mark; The correction sub-module 3033 is configured to correct the first target remote sensing interpretation mark to obtain the target remote sensing interpretation mark.
[0102] Optionally, the third determination sub-module 3031 is configured to acquire a hyperspectral image of the target area; determine an oxide enrichment area and a mineral enrichment area in the target area according to the hyperspectral image; and determine an area with oil and gas micro-hydrocarbon leakage in the target area according to the oxide enrichment area and the mineral enrichment area.
[0103] Optionally, the correction sub-module 3033 is configured to obtain gamma energy spectrum data information of multiple first sub-regions, where the oil and gas micro-hydrocarbon leakage region includes multiple first sub-regions; and correct the first target remote sensing interpretation mark according to the gamma energy spectrum data information to obtain the target remote sensing interpretation mark.
[0104] Optionally, the correction sub-module 3033 is configured to determine a first target sub-region from the multiple first sub-regions according to the gamma energy spectrum data information, where the first target sub-region is used to represent a region where the uranium content is greater than a preset Clark value; and determine the target remote sensing interpretation mark from within the first target sub-region.
[0105] Figure 6 is based on Figure 3 The block diagram of an acquisition module shown in the illustrated embodiment. Refer to Figure 6 , the acquisition module 301 includes: An acquisition sub-module 3011, configured to acquire an original remote sensing image of a target region, and acquire geological information of the target region, where the geological information is used to represent the formation information and uranium ore information of the target region; A registration sub-module 3012, configured to perform spatial registration processing on the geological information to obtain a target geological image, where the target geological image is an image with the same coordinates as the original remote sensing image; A preprocessing sub-module 3013, configured to preprocess the original remote sensing image to obtain a preprocessed target remote sensing image; A fifth determination sub-module 3014, configured to determine satellite remote sensing image data according to the target remote sensing image and the target geological image.
[0106] Regarding the device in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment related to the method, and will not be elaborated here.
[0107] By using the above device, the remote sensing interpretation mark can be determined through satellite remote sensing image data to obtain the geological region with reworking mineralization in the target region, and the target geological region can be determined by correcting the remote sensing interpretation mark, so that it is possible to determine the target geological region with reworking mineralization in the target region by combining the fracture structure identification, thereby improving the efficiency of exploration and identification of sandstone-type uranium ore.
[0108] Figure 7 The block diagram of an electronic device 700 shown according to an exemplary embodiment. As Figure 7 shown, the electronic device 700 may include: a processor 701, a memory 702. The electronic device 700 may further include one or more of a multimedia component 703, an input / output (I / O) interface 704, and a communication component 705.
[0109] Among them, the processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the above-mentioned method for area recognition. The memory 702 is used to store various types of data to support the operation of the electronic device 700. These data may include, for example, instructions for any application or method operating on the electronic device 700, as well as application-related data, such as contact data, received and sent messages, pictures, audio, video, and so on. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic memory, flash memory, magnetic disk or optical disc. The multimedia component 703 may include a screen and an audio component. Among them, the screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 702 or sent through the communication component 705. The audio component also includes at least one speaker for outputting audio signals. The input / output (I / O) interface 704 provides an interface between the processor 701 and other interface modules, and the above-mentioned other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited herein. Therefore, the corresponding communication component 705 may include: a Wi-Fi module, a Bluetooth module, an NFC module, and so on.
[0110] In an exemplary embodiment, the electronic device 700 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described method for region recognition.
[0111] In another exemplary embodiment, there is also provided a computer-readable storage medium including program instructions that, when executed by a processor, implement the steps of the above-described method for region recognition. For example, the computer-readable storage medium may be the above-described memory 702 including program instructions, and the above program instructions may be executed by the processor 701 of the electronic device 700 to complete the above-described method for region recognition.
[0112] The preferred embodiments of the present disclosure have been described in detail above in conjunction with the accompanying drawings. However, the present disclosure is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.
[0113] In addition, it should be noted that, in the above specific embodiments, the various specific technical features described can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the present disclosure does not separately describe various possible combination manners.
[0114] Furthermore, any combination can be made between the various different embodiments of the present disclosure as long as it does not violate the idea of the present disclosure, and it should also be regarded as the content disclosed by the present disclosure.
Claims
1. A method for area recognition, characterized in that, The method includes: Obtaining satellite remote sensing image data of a target area; Determining a remote sensing interpretation mark of the target area according to the satellite remote sensing image data, where the remote sensing interpretation mark is used to characterize a geological area with reworking mineralization in the target area; the remote sensing interpretation mark includes a linear fracture mark, a fold structure mark, and a local drainage zone mark; Correcting the remote sensing interpretation mark to obtain a target remote sensing interpretation mark; Interpretively identifying the target area according to the target remote sensing interpretation mark to identify a target geological area with reworking mineralization in the target area.
2. The method according to claim 1, characterized in that, The determining the remote sensing interpretation mark of the target area according to the satellite remote sensing image data includes: Determining the linear fracture mark, the fold structure mark, and the local drainage zone mark of the target area according to the satellite remote sensing image data; Determining the remote sensing interpretation mark of the target area according to the linear fracture mark, the fold structure mark, and the local drainage zone mark.
3. The method according to claim 1, characterized in that, The correcting the remote sensing interpretation mark to obtain a target remote sensing interpretation mark: Determining that there is an oil and gas micro-hydrocarbon leakage area in the target area; Taking the remote sensing interpretation mark in the oil and gas micro-hydrocarbon leakage area as a first target remote sensing interpretation mark; Correcting the first target remote sensing interpretation mark to obtain the target remote sensing interpretation mark.
4. The method according to claim 3, characterized in that, The determining that there is an oil and gas micro-hydrocarbon leakage area in the target area includes: Obtaining a hyperspectral image of the target area; Determining an oxide enrichment area and a mineral enrichment area in the target area according to the hyperspectral image; Determining that there is an oil and gas micro-hydrocarbon leakage area in the target area according to the oxide enrichment area and the mineral enrichment area.
5. The method according to claim 3, characterized in that, The correcting the first target remote sensing interpretation mark to obtain the target remote sensing interpretation mark includes: Obtaining gamma energy spectrum data information of a plurality of first sub-areas, where the oil and gas micro-hydrocarbon leakage area includes a plurality of first sub-areas; Correcting the first target remote sensing interpretation mark according to the gamma energy spectrum data information to obtain the target remote sensing interpretation mark.
6. The method according to claim 5, characterized in that, The correcting the first target remote sensing interpretation mark according to the gamma energy spectrum data information to obtain the target remote sensing interpretation mark includes: Determining a first target sub-area from the plurality of first sub-areas according to the gamma energy spectrum data information, where the first target sub-area is used to characterize an area where the uranium content is greater than a preset Clark value; Determining the target remote sensing interpretation mark from within the first target sub-area.
7. The method according to any one of claims 1 - 6, characterized in that, The obtaining satellite remote sensing image data of the target area includes: Obtaining an original remote sensing image of the target area and obtaining geological information of the target area, where the geological information is used to characterize the stratigraphic information and uranium ore information of the target area; Performing spatial registration processing on the geological information to obtain a target geological image, where the target geological image is an image with the same coordinates as the original remote sensing image; Performing preprocessing on the original remote sensing image to obtain a preprocessed target remote sensing image; Determining satellite remote sensing image data according to the target remote sensing image and the target geological image.
8. An apparatus for area recognition, characterized in that, The device includes: An acquisition module for acquiring satellite remote sensing image data of a target area; A determination module for determining, based on the satellite remote sensing image data, a remote sensing interpretation mark of the target area, the remote sensing interpretation mark being used to characterize a geological area in the target area where there is a mineralization transformation effect; A correction module for correcting the remote sensing interpretation mark to obtain a target remote sensing interpretation mark; An identification module for interpreting and identifying the target area according to the target remote sensing interpretation mark to identify a target geological area in the target area where there is a mineralization transformation effect.
9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, it implements the steps of the method according to any one of claims 1-7.
10. An electronic device, characterized in that, Comprising: A memory having a computer program stored thereon; A processor for executing the computer program in the memory to implement the steps of the method according to any one of claims 1-7.