CN116662467A - Cesium-based coal mine area earth surface change detection method - Google Patents
Cesium-based coal mine area earth surface change detection method Download PDFInfo
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- CN116662467A CN116662467A CN202310603008.6A CN202310603008A CN116662467A CN 116662467 A CN116662467 A CN 116662467A CN 202310603008 A CN202310603008 A CN 202310603008A CN 116662467 A CN116662467 A CN 116662467A
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- 238000001514 detection method Methods 0.000 title claims abstract description 92
- 230000008859 change Effects 0.000 title claims abstract description 88
- 229910052792 caesium Inorganic materials 0.000 title claims abstract description 20
- TVFDJXOCXUVLDH-UHFFFAOYSA-N caesium atom Chemical compound [Cs] TVFDJXOCXUVLDH-UHFFFAOYSA-N 0.000 title claims abstract description 20
- 239000003245 coal Substances 0.000 title claims abstract description 19
- 230000002452 interceptive effect Effects 0.000 claims abstract description 12
- 238000012549 training Methods 0.000 claims abstract description 5
- 230000006870 function Effects 0.000 claims description 14
- 238000000034 method Methods 0.000 claims description 9
- 238000013135 deep learning Methods 0.000 claims description 4
- 230000008520 organization Effects 0.000 claims description 2
- 230000000452 restraining effect Effects 0.000 claims 1
- 238000004519 manufacturing process Methods 0.000 abstract description 4
- 238000005065 mining Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 5
- 238000011161 development Methods 0.000 description 4
- 238000013079 data visualisation Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012732 spatial analysis Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000004806 packaging method and process Methods 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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Abstract
The invention discloses a coal mine area earth surface change detection method based on Cesium, which comprises the following steps: 1. remote sensing image data and change detection result data are stored in a data layer; 2. training a change detection model at a service layer and constructing an API function; 3. calling a trained change detection model at an application layer, returning a change detection result and storing the change detection result into a change detection database; 4. performing interactive editing on the change detection result in the change detection database by using a Cesium manual interactive function; 5. and outputting the data in the change detection database in the form of a statistical report. The invention ensures that the change detection application is more accurate and efficient, gets rid of the algorithm dependence of the change detection, supports the operation of cross-platform and cross-browser, reduces the operation and understanding difficulties of non-professional personnel and improves the working quality and efficiency of mine production planning and mine geological environment treatment.
Description
Technical Field
The invention belongs to coal resource exploitation, and particularly relates to a coal mine area earth surface change detection method based on Cesium.
Background
The development of coal resources causes serious mine geological environment problems such as damage of earth surface building (construction) of a coal mining area, earth surface collapse, farmland damage and the like. The change detection of the mine surface can quantitatively study the time and space distribution rule of different ground object types affected by mining, comprehensively master the dynamic change condition of the mine surface, and make reasonable decisions on reasonable mining of coal resources and mining subsidence damage protection. Therefore, the detection of the change of the ground surface of the mining area has important significance to the theoretical research and production practice of coal resource development. The development of remote sensing science and machine learning technology provides a viable idea for solving the problems. Such as advanced remote sensing change detection technology based on deep learning, has been developed by a large number of researchers in recent years. However, in practical application, the algorithms often lack post-processing strategies for inherent defects of false detection, omission detection and the like, so that the algorithms have larger limitation in practical application, and the change detection results have strong algorithm dependence. With the rapid development of computer science and technology, internet interaction technology and network geographic information technology, the geographic information space service process needs to be further advanced, and a remote sensing image change detection space information system under the internet interaction environment is perfected.
Cesium is a JavaScript map engine for realizing three-dimensional earth display on a Web browser, supports display forms such as 2D, 2.5D and 3D, supports calling various map service layers such as WMS, WMTS, TMS under OGC space data service specification, and supports realizing global high-precision topographic data visualization. Entity creation, model data loading, numerous spatial analysis functions, and the like can be performed on the three-dimensional virtual earth.
Disclosure of Invention
The invention aims to: the invention aims to provide a coal mine area earth surface change detection method based on Cesium, so that change detection application is more accurate and efficient.
The technical scheme is as follows: the invention discloses a coal mine area earth surface change detection method based on Cesium, which comprises the following steps:
step 1, acquiring remote sensing image data of a target area in a target time period and change detection result data of a target to be detected, and storing the remote sensing image data and the change detection result data in a data layer;
step 2, based on the determination of the target to be detected, acquiring a sample based on remote sensing image data, taking sample data as input, taking change detection result data of the target to be detected as output, training a change detection model at a service layer, and constructing an API function;
step 3, calling a trained change detection model at an application layer, returning a change detection result and storing the change detection result into a change detection database;
step 4, performing interactive editing on the change detection result in the change detection database by utilizing a Cesium manual interactive function;
and step 5, outputting the data in the change detection database in a form of a statistical report.
Cesium is a JavaScript map engine for realizing three-dimensional earth display on a Web browser, supports display forms such as 2D, 2.5D and 3D, supports calling various map service layers such as WMS, WMTS, TMS under OGC space data service specification, and supports realizing global high-precision topographic data visualization. Entity creation, model data loading, numerous spatial analysis functions, and the like can be performed on the three-dimensional virtual earth.
The invention constructs an automatic and interactive application framework for detecting the change of the ground surface remote sensing image of the coal mine area based on a Cesium open source three-dimensional engine. The data layer stores data such as multi-temporal remote sensing image data related to mining area change detection, detection area boundaries, basic geographic information such as mine information and the like; the service layer mainly encapsulates a certain change detection model after training is finished; the application layer is mainly used for calling related services, manual interactive editing of detection results, visual display, report output and other functions. The method ensures that the change detection application is more accurate and efficient, gets rid of the algorithm dependence of the change detection, supports the operation of cross-platform and cross-browser, reduces the operation and understanding difficulty of non-professional personnel, and improves the working quality and efficiency of mine production planning and mine geological environment treatment.
In step 1, the remote sensing image data are multi-temporal remote sensing images with the same spatial resolution, the data format is a TIFF data file with geocoding, and the tifu lab tool is used for processing the data into a tile map with a multi-resolution hierarchical model, the tiles are named according to a standard pyramid, and the format is a pyramid directory organized by a default { z }/{ x }/{ y }; and the change detection result data of the target to be detected is stored in a data layer in a MySQL or Oracle database mode.
Further, in step 1, mine information is also collected, including a mine boundary vector data file and a mine information text file, and the mine boundary vector data is stored in a data layer in a MySQL or Oracle database form, and is used for restricting a change detection area.
Further, in step 2, a change detection algorithm is selected, a sample is acquired based on remote sensing image data on the basis of determining a target to be detected, a change detection model is trained, and an API function is constructed and packaged to a service layer.
Further, the change detection algorithm includes a deep learning algorithm.
Further, in step 5, based on the change detection database, the statistical report is output in the form of Word or Excel.
The beneficial effects are that: compared with the prior art, the invention has the following remarkable advantages: the method ensures that the change detection application is more accurate and efficient, gets rid of the algorithm dependence of the change detection, supports the operation of cross-platform and cross-browser, reduces the operation and understanding difficulty of non-professional personnel, and improves the working quality and efficiency of mine production planning and mine geological environment treatment.
Drawings
FIG. 1 is a system frame diagram of the present invention;
FIG. 2 is an interactive edit graph of a change detection result and a detection result for a mine area; wherein, (a) the detection result is changed (a thin line frame in the figure is a mining area boundary); (b) The detected change region (corresponding to a white rectangular box in the diagram (a)); (c) interactive editing of the detection result;
fig. 3 is a statistical report output graph of the change detection result.
Detailed Description
The technical scheme of the invention is further described below with reference to the accompanying drawings.
The system framework of the invention is shown in fig. 1, and the key steps are as follows:
(1) Data acquisition and storage
(1) Remote sensing image data. And acquiring multi-temporal remote sensing images with the same spatial resolution at different periods of the target area. The data format is a TIFF data file with geographic coding, and to improve loading efficiency, a CesiumLab tool is used for processing the TIFF data file into a tile map with a multi-resolution hierarchical model, the tiles are named according to a standard pyramid, and the format is a default { z }/{ x }/{ y }. The pyramid directory of the png directory organization.
(2) Mine information (slave). Including vector data files for mine boundaries and text files for mine information. Stored in the data layer in the form of MySQL or Oracle databases. Mine boundary vector data is used to constrain the region of change detection.
(3) And (5) changing the detection result data. Stored in the data layer in the form of MySQL or Oracle databases. Database information is shown in table 1.
Table 1 database table design for change detection results
(2) Change detection algorithm
And selecting a certain change detection algorithm (such as a deep learning algorithm), acquiring samples based on remote sensing image data on the basis of determining a target to be detected, training a change detection model, constructing an API function, and packaging the API function into a service layer. The data and types to be returned by the change detection model API function are shown in Table 2.
Table 2 change detection model API function return data description
(3) Automated change detection
The change detection model is invoked in the application layer (client), and the change detection result is returned and stored in the change detection database (table 1).
(4) Manually interactive editing
Any detection algorithm inevitably has the conditions of false detection and missing detection, and therefore, the detection result is interactively edited (deleted, added, adjusted and the like) by utilizing a Cesium interactive function so as to ensure the accuracy and the accuracy of the detection result. And updating the manually edited result in real time and storing the result in a change detection result database.
(5) Statistical report data
Based on the change detection database, the statistical report is output in the form of Word or Excel.
Claims (7)
1. The coal mine area earth surface change detection method based on Cesium is characterized by comprising the following steps of:
step 1, acquiring remote sensing image data of a target area in a target time period and change detection result data of a target to be detected, and storing the remote sensing image data and the change detection result data in a data layer;
step 2, based on the determination of the target to be detected, acquiring a sample based on remote sensing image data, taking sample data as input, taking change detection result data of the target to be detected as output, training a change detection model at a service layer, and constructing an API function;
step 3, calling a trained change detection model at an application layer, returning a change detection result and storing the change detection result into a change detection database;
step 4, performing interactive editing on the change detection result in the change detection database by utilizing a Cesium manual interactive function;
and step 5, outputting the data in the change detection database in a form of a statistical report.
2. The method for detecting the earth surface change of the coal mine area based on Cesium according to claim 1, wherein in the step 1, the remote sensing image data are multi-temporal remote sensing images with the same spatial resolution, the data format is a TIFF data file with geocoding, the data are processed into a tile map with a multi-resolution hierarchical model by using a CesiumLab tool, the tiles are named according to a standard pyramid and the format is a default pyramid catalog of { z }/{ x }/{ y }. Png catalog organization; and the change detection result data of the target to be detected is stored in a data layer in a MySQL or Oracle database mode.
3. The method for detecting the surface change of the coal mine area based on Cesium according to claim 1, wherein in the step 1, mine information is also collected, and the mine information comprises a mine boundary vector data file and a mine information text file, wherein the mine boundary vector data is used for restraining a change detection area.
4. A method for detecting a change in the earth's surface of a coal mine area based on Cesium according to claim 3, wherein the mine information is stored in a data layer in the form of MySQL or Oracle database.
5. The method for detecting the surface change of the coal mine area based on Cesium according to claim 1, wherein in the step 2, a change detection algorithm is selected, a sample is acquired based on remote sensing image data on the basis of determining a target to be detected, a change detection model is trained, and an API function is constructed and packaged to a service layer.
6. The method for detecting the change of the earth surface of the coal mine area based on Cesium according to claim 5, wherein the change detection algorithm comprises a deep learning algorithm.
7. The method for detecting the surface change of the coal mine area based on Cesium according to claim 1, wherein in step 5, the statistical report is output in a Word or Excel form based on a change detection database.
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| CN202310603008.6A CN116662467A (en) | 2023-05-26 | 2023-05-26 | Cesium-based coal mine area earth surface change detection method |
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