CN102621591B - Small coal mine monitoring method and device and data processing equipment - Google Patents

Small coal mine monitoring method and device and data processing equipment Download PDF

Info

Publication number
CN102621591B
CN102621591B CN 201210092039 CN201210092039A CN102621591B CN 102621591 B CN102621591 B CN 102621591B CN 201210092039 CN201210092039 CN 201210092039 CN 201210092039 A CN201210092039 A CN 201210092039A CN 102621591 B CN102621591 B CN 102621591B
Authority
CN
China
Prior art keywords
sensing image
image data
coal mine
satellite remote
small coal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN 201210092039
Other languages
Chinese (zh)
Other versions
CN102621591A (en
Inventor
王瑞国
孟淑英
张志峰
白璐
李程
张敦芳
赵福明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Shenhua Energy Co Ltd
Shenhua Geological Exploration Co Ltd
Original Assignee
China Shenhua Energy Co Ltd
Shenhua Geological Exploration Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Shenhua Energy Co Ltd, Shenhua Geological Exploration Co Ltd filed Critical China Shenhua Energy Co Ltd
Priority to CN 201210092039 priority Critical patent/CN102621591B/en
Publication of CN102621591A publication Critical patent/CN102621591A/en
Application granted granted Critical
Publication of CN102621591B publication Critical patent/CN102621591B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Image Processing (AREA)

Abstract

The invention discloses a small coal mine monitoring method, a small coal mine monitoring device, and data processing equipment. The small coal mine monitoring method comprises the following steps of: acquiring satellite remote sensing image data; interpreting the satellite remote sensing image data to extract earth surface feature data reflected by the satellite remote sensing image data; and acquiring monitoring data of the small coal mine through the earth surface feature data. By the method, the effect of monitoring the small coal mine quickly and accurately is achieved.

Description

Small coal mine monitoring method and device and data processing equipment
Technical field
The present invention relates to the monitoring field, in particular to a kind of small coal mine monitoring method and device and data processing equipment.
Background technology
Small coal mine typically refers to produces the colliery that is no more than 300,000 t/a, no matter does not possess the due pacing items of coal production enterprise from everyways such as economy input, development of resources, environmental improvement, safety requirements.The existence of small coal mine has constituted very big threat for destruction, environmental pollution and the safety in production of coal resources.It is particularly important how to investigate thoroughly that the small coal mine situation that exists in the history is in the past recovered aspect such as improvement for large-scale Safety of Coal Mine Production, resource synthetic development utilization, environment, directly affects the security developments of China's coal-mine enterprise.
Existing small coal mine monitoring method is main by traditional open-air field survey, and still, for large-scale coal pit monitoring, this kind method is difficult to reach fast, investigates requirement accurately, and is difficult to investigate thoroughly in detail, all sidedly the underground mining situation of small coal mine.
Be difficult to reach the problem of investigating demand fast and accurately at small coal mine monitoring method of the prior art, do not propose effective solution at present as yet.
Summary of the invention
Fundamental purpose of the present invention is to provide a kind of small coal mine monitoring method and device and data processing equipment, is difficult to reach the problem of investigating demand fast and accurately to solve small coal mine monitoring method of the prior art.
To achieve these goals, according to an aspect of the present invention, provide a kind of small coal mine monitoring method.
A kind of small coal mine monitoring method according to the present invention comprises: obtain the satellite remote-sensing image data; The satellite remote-sensing image data are carried out decipher, to extract the topographical features data that the satellite remote-sensing image data are reflected; And the Monitoring Data of obtaining small coal mine by the topographical features data.
Further, after obtaining the satellite remote-sensing image data, and before the satellite remote-sensing image data were carried out decipher, said method also comprised: obtain basic data; And utilize basic data that the satellite remote-sensing image data are carried out geometric correction and handle.
Further, utilizing basic data the satellite remote-sensing image data to be carried out after geometric correction handles, said method also comprises: the satellite remote-sensing image data of correcting are carried out spatial resolution and the spectral information that image co-registration handles to strengthen the satellite remote-sensing image data; And the satellite remote-sensing image data after strengthening are spared look handle.
Further, the satellite remote-sensing image data are carried out decipher, the topographical features data that reflected with extraction satellite remote-sensing image data comprise: extract the surface collapse information that the satellite remote-sensing image data are reflected; And/or extract the ground fissure information that the satellite remote-sensing image data reflect.
Further, the Monitoring Data of obtaining small coal mine by the topographical features data comprises: the topographical features that small coal mine is produced is analyzed in advance; Data after utilize analyzing are obtained topographical features that small coal mine produces and are reflected in difference characteristic on the satellite remote-sensing image data; And in the satellite remote-sensing image data, obtain the information relevant with small coal mine by difference characteristic.
Further, obtaining the information relevant with small coal mine by difference characteristic in the satellite remote-sensing image data comprises: the spectral information difference of utilizing different topographical features to reflect at remote sensing image, characteristic element on the satellite remote-sensing image data is analyzed, to determine position and the distribution range of small coal mine.
To achieve these goals, according to a further aspect in the invention, provide a kind of small coal mine monitoring device.This device is used for carrying out any one small coal mine monitoring method provided by the invention.
A kind of small coal mine monitoring device according to the present invention comprises: first acquisition module is used for obtaining the satellite remote-sensing image data; Extraction module is used for the satellite remote-sensing image data are carried out decipher, to extract the topographical features data that the satellite remote-sensing image data are reflected; And monitoring modular, for the Monitoring Data of obtaining small coal mine by the topographical features data.
Further, said apparatus also comprises: second acquisition module is used for obtaining basic data; And the correction module, be used for utilizing basic data that the satellite remote-sensing image data are carried out geometric correction and handle.
Further, said apparatus also comprises: strengthen module, be used for the satellite remote-sensing image data of correcting are carried out spatial resolution and the spectral information that image co-registration handles to strengthen the satellite remote-sensing image data; And even look module, be used for that the satellite remote-sensing image data after strengthening are spared look and handle.
Further, extraction module comprises: first extracts submodule, is used for extracting the surface collapse information that the satellite remote-sensing image data reflect; And/or second extract submodule, is used for extracting the ground fissure information that the satellite remote-sensing image data reflect.
Further, monitoring modular comprises: analyze submodule, the topographical features that is used in advance small coal mine being produced is analyzed; First obtains submodule, and the data after be used for to utilize analyzing are obtained topographical features that small coal mine produces and are reflected in difference characteristic on the satellite remote-sensing image data; And second obtain submodule, is used for obtaining the information relevant with small coal mine by difference characteristic in the satellite remote-sensing image data.
Further, second obtains submodule is used for utilizing different topographical features in the spectral information difference that remote sensing image reflects, the characteristic element on the satellite remote-sensing image data is analyzed, to determine position and the distribution range of small coal mine.
To achieve these goals, in accordance with a further aspect of the present invention, provide a kind of data processing equipment, this data processing equipment comprises any small coal mine monitoring device of the present invention.
By the present invention, because adopting the remote sensing image data that satellite is obtained handles, obtain the method for the Monitoring Data of small coal mine, have the small coal mine monitoring method in the technology now and be difficult to reach the problem of investigating demand fast and accurately thereby solved, and then reached the effect of quick and precisely small coal mine being monitored.
Description of drawings
The accompanying drawing that constitutes the application's a part is used to provide further understanding of the present invention, and illustrative examples of the present invention and explanation thereof are used for explaining the present invention, do not constitute improper restriction of the present invention.In the accompanying drawings:
Fig. 1 is the structured flowchart according to the small coal mine monitoring device of the embodiment of the invention;
Fig. 2 is the structured flowchart according to the small coal mine monitoring device of first preferred embodiment of the invention;
Fig. 3 is the structured flowchart according to the small coal mine monitoring device of second preferred embodiment of the invention;
Fig. 4 a to 4c is the structured flowchart according to the small coal mine monitoring device of third preferred embodiment of the invention
Fig. 5 is the structured flowchart according to the small coal mine monitoring device of four preferred embodiment of the invention;
Fig. 6 is the process flow diagram according to the small coal mine monitoring method of the embodiment of the invention; And
Fig. 7 is the process flow diagram of small coal mine monitoring method according to the preferred embodiment of the invention.
Embodiment
Need to prove that under the situation of not conflicting, embodiment and the feature among the embodiment among the application can make up mutually.Describe the present invention below with reference to the accompanying drawings and in conjunction with the embodiments in detail.
The embodiment of the invention provides a kind of small coal mine monitoring device.
Fig. 1 is the structured flowchart according to the small coal mine monitoring device of the embodiment of the invention.
As shown in Figure 1, this small coal mine monitoring device comprises first acquisition module 11, extraction module 12 and monitoring modular 13.
First acquisition module 11 is used for obtaining the satellite remote-sensing image data.
Extraction module 12 is used for the satellite remote-sensing image data are carried out decipher, to extract the topographical features data that the satellite remote-sensing image data are reflected.
Monitoring modular 13 is used for obtaining by the topographical features data Monitoring Data of small coal mine.
In the present embodiment, handle by the remote sensing image data that satellite is obtained, obtain the Monitoring Data of small coal mine, reached the effect of quick and precisely small coal mine being monitored.
Fig. 2 is the structured flowchart according to the small coal mine monitoring device of first preferred embodiment of the invention.This embodiment can be used as the preferred implementation of above-described embodiment.
As shown in Figure 2, this small coal mine monitoring device also comprises second acquisition module 14 and corrects module 15 except comprising first acquisition module 11, extraction module 12 and monitoring modular 13.
Second acquisition module 14 is used for obtaining basic data.
Correcting module 15 is used for utilizing basic data that the satellite remote-sensing image data are carried out the geometric correction processing.
In this embodiment, handle by the satellite remote-sensing image data being carried out geometric correction, make the satellite remote-sensing image data more accurate, thereby can reach testing result more accurately.
Fig. 3 is the structured flowchart according to the small coal mine monitoring device of second preferred embodiment of the invention.This embodiment can be used as the preferred implementation of above-described embodiment.
As shown in Figure 3, this small coal mine monitoring device also comprises strengthening module 16 and even look module 17 except comprising first acquisition module 11, extraction module 12 and monitoring modular 13.
Strengthening module 16 is used for the satellite remote-sensing image data of correcting are carried out spatial resolution and the spectral information that image co-registration handles to strengthen the satellite remote-sensing image data.
Even look module 17 is used for that the satellite remote-sensing image data after strengthening are spared look and handles.
In this embodiment, by the satellite remote-sensing image data of correcting being carried out the image co-registration processing and sparing look and handle, make the satellite remote-sensing image data more accurate, thereby can reach testing result more accurately.
Fig. 4 is the structured flowchart according to the small coal mine monitoring device of third preferred embodiment of the invention.This embodiment can be used as the preferred implementation of above-described embodiment.
Shown in Fig. 4 a, 4b and 4c, this small coal mine monitoring device comprises first acquisition module 11, extraction module 12 and monitoring modular 13, and wherein, extraction module 12 comprises that first extracts submodule 122 and/or the second extraction submodule 124.
First extracts submodule 122 is used for extracting the surface collapse information that the satellite remote-sensing image data reflect.
Second extracts submodule 124 is used for extracting the ground fissure information that the satellite remote-sensing image data reflect.
In this embodiment, subside information and ground fissure information of combined ground is determined the coverage of small coal mine to have improved the precision of small coal mine monitoring.
Fig. 5 is the structured flowchart according to the small coal mine monitoring device of four preferred embodiment of the invention.This embodiment can be used as the preferred implementation of above-described embodiment.
As shown in Figure 5, this small coal mine monitoring device comprises first acquisition module 11, extraction module 12 and monitoring modular 13, and wherein, monitoring modular 13 comprises that analysis submodule 132, first obtains son 134 and second and obtains submodule 136.
Analyzing submodule 132 analyzes for the topographical features that in advance small coal mine is produced.
First obtains submodule 134 is used for utilizing data after analyzing to obtain topographical features that small coal mine produces being reflected in difference characteristic on the satellite remote-sensing image data.
Second obtains submodule 136 is used for obtaining the information relevant with small coal mine by difference characteristic in the satellite remote-sensing image data.
In this embodiment, by analyzing the difference characteristic on the satellite remote-sensing image data, obtain the information relevant with small coal mine, this method is handled by the data of computing machine, gets rid of people's subjective factor, has obtained the relevant information of more objective and accurate small coal mine.
Preferably, second obtains submodule 136 is used for utilizing different topographical features in the spectral information difference that remote sensing image reflects, the characteristic element on the satellite remote-sensing image data is analyzed, to determine position and the distribution range of small coal mine.
In this embodiment, the different spectral informations that reflect at remote sensing image by different topographical features, characteristic element on the satellite remote-sensing image data is analyzed, to determine position and the distribution range of small coal mine, on the spot the exploration than the field of this method, avoid different geographical environments to the influence of exploration, improved the precision of exploration.
The embodiment of the invention provides a kind of data processing equipment, this data processing equipment can comprise any one small coal mine monitoring device provided by the invention, perhaps, make this small coal mine monitoring device run on this data processing equipment, so that this data processing equipment can obtain the high resolution ratio satellite remote-sensing image data, and satellite remote-sensing image data and coal geology data that combination is obtained are carried out the remote Sensing Interpretation analysis-by-synthesis, with the geologic media range of influence of determining that small coal mine produces, and then, reach the purpose that small coal mine is monitored.Artificial ground observation than prior art, this equipment can carry out comprehensively analyzing to obtain the Monitoring Data relevant with small coal mine fast to satellite remote sensing date, simultaneously owing to the data of whole observation process are handled and can both be realized on computers, therefore, monitoring result is more objective and accurate.Monitoring result can also provide reliable technical basis for mining area safety production, perhaps as the important technical of mining geology environmental monitoring and assessment.
Above-mentioned satellite remote-sensing image data can be the optical satellite remote sensing image datas.
The embodiment of the invention also provides a kind of small coal mine monitoring method, and this method can be carried out based on above-mentioned small coal mine monitoring device.
Fig. 6 is the process flow diagram according to the small coal mine monitoring method of the embodiment of the invention.
As shown in Figure 6, this small coal mine monitoring method comprises that following step S602 is to step S606.
Step S602 obtains the satellite remote-sensing image data.
High resolution ratio satellite remote-sensing can generate high-resolution satellite remote sensing date after zone to be measured is scanned.In the present embodiment, the spatial resolution of satellite remote sensing date is better than 1 meter, as the worldview satellite remote sensing date.
In order to reach the pinpoint effect of image data, after obtaining the satellite remote-sensing image data, can also collect some basic datas and utilize basic data that the satellite remote-sensing image data are carried out the geometric correction processing then, said basic data data mainly comprises data such as large scale topographical map, digital elevation model (DEM) and existing reference mark here.
In order further to improve visual effect and the geo-location precision of image, can carry out the processing of image co-registration and even look, for example utilizing basic data the satellite remote-sensing image data to be carried out after geometric correction handles, the satellite remote-sensing image data of correcting are carried out spatial resolution and the spectral information that image co-registration handles to strengthen the satellite remote-sensing image data, then the satellite remote-sensing image data after strengthening are spared look and handle.Through these processing, can strengthen image spatial resolution and spectral information, and make that the view picture image reaches color balance, the light and shade contrast is moderate and the effect of clean mark.
Step S604 carries out decipher to the satellite remote-sensing image data, to extract the topographical features data that the satellite remote-sensing image data are reflected.
Because the spectral information difference that different topographical features reflects at remote sensing image, it is the feature difference of the performance of different surface feature on image, as textural characteristics, brightness contrast, heterochromia and geometric configuration etc., therefore, after receiving the satellite remote-sensing image data, can carry out decipher to satellite remote-sensing image by interactive means, specifically comprise characteristic elements such as the textural characteristics on the remote sensing image, brightness contrast, heterochromia and geometric configuration are carried out analysis-by-synthesis.
Preferably, step S604 can comprise the steps S6042 and step S6044.
Step S6042 extracts the surface collapse information that the satellite remote-sensing image data reflect.
Step S6044 extracts the ground fissure information that the satellite remote-sensing image data reflect.
When execution in step S604, both execution in step S6042 or step S6044 separately also can carry out two steps.
Because the small coal mine region can produce surface collapse, this surface collapse can cause the drawing crack of the peripheral face of land, by this periphery face of land drawing crack and seam mining geologic information in the past, can determine tentatively that the small coal mine exploitation is for the coverage of mine environment, for the small coal mine investigation and monitoring provides objective basis.According to above-mentioned characteristic elements such as the textural characteristics on the remote sensing image, brightness contrast, heterochromia and geometric configuration are carried out the remote Sensing Interpretation sign that analysis result that analysis-by-synthesis obtains can arrange surface collapse, ground funnel and ground fissure, identify by the remote Sensing Interpretation that arranges then, can collect the topographical features information such as surface collapse, ground funnel and ground fissure in the remote sensing image in whole zone, by one of at least the coverage of small coal mine being determined of surface collapse information, ground funnel information and ground fissure information, improved the precision of determining.Simultaneously, surface collapse information and ground fissure information etc. in conjunction with the comprehensive decipher achievement of high resolution ratio satellite remote-sensing data, can be determined the key area, thereby determine the coverage of small coal mine.
On this basis, remote Sensing Interpretation analysis to collapse doline and subsiding belt periphery drawing crack topographical features, with this analysis result in conjunction with geologic informations such as the ruling engineering drawing of in the past seam mining, geologic maps, get rid of some interfere informations, can determine finally that the small coal mine exploitation is for the coverage of mine environment.
Step S606 obtains the Monitoring Data of small coal mine by the topographical features data.
Preferably, step S606 can comprise that step S6062 is to step S6066.
Step S6062 analyzes the topographical features that small coal mine produces in advance.
Step S6064, the data after utilize analyzing are obtained topographical features that small coal mine produces and are reflected in difference characteristic on the satellite remote-sensing image data.
Step S6066 obtains the information relevant with small coal mine by difference characteristic in the satellite remote-sensing image data.For example, utilize different topographical features in the spectral information difference that remote sensing image reflects, the characteristic element on the satellite remote-sensing image data is analyzed, to determine position and the distribution range of small coal mine.On the spot the exploration than the field of this method has avoided different geographical environments to the influence of exploration, has improved the precision of exploration.
In above three steps, by analyzing the difference characteristic on the satellite remote-sensing image data, obtain the information relevant with small coal mine, this method is handled by the data of computing machine, gets rid of people's subjective factor, has obtained the relevant information of more objective and accurate small coal mine.
Present embodiment utilizes the high resolution ratio satellite remote-sensing image data, because the special terrain surface specifications that small coal mine produces is reflected in and has characteristic information in the remote sensing image, extract this characteristic information by the remote sensing image decipher, analyze the distribution range of surface collapse, according to surface collapse type and collapse strength, again in conjunction with the coal geology data, position and the coverage at integrated forecasting small coal mine place.
Fig. 7 is the process flow diagram of small coal mine monitoring method according to the preferred embodiment of the invention, and in sum, in the present embodiment, high resolution ratio satellite remote-sensing scans zone to be measured, generates the high resolution ratio satellite remote-sensing data.After the small coal mine monitoring equipment obtains high resolution ratio satellite remote-sensing data from above-mentioned satellite, in conjunction with the basic data data, carry out Digital Image Processing, thereby tentatively determine position and the distribution range of small coal mine, carry out analysis-by-synthesis in conjunction with geologic information in the past again, determine the small coal mine coverage, finally work out small coal mine remote sensing investigation monitoring report.The embodiment of the invention is handled by the remote sensing image data that satellite is obtained, and obtains the Monitoring Data of small coal mine, has reached the effect of quick and precisely small coal mine being monitored.
Compared to existing technology, the embodiment of the invention has the following advantages.
1, by the embodiment of the invention, can in depth find out number of locations and the underground mining coverage of small coal mine, for Safety of Coal Mine Production provides technical support promptly and accurately, comprehensively.
2, the satellite data that the embodiment of the invention is obtained is accurate, bearing accuracy is high, the trend of the times is strong, and analytic process is objective and data read is directly perceived.
3, adopt the embodiment of the invention, avoid the Personal Risk in the exploration work, for survey crew's safety provides safeguard.
Obviously, those skilled in the art should be understood that, above-mentioned each module of the present invention or each step can realize with the general calculation device, they can concentrate on the single calculation element, perhaps be distributed on the network that a plurality of calculation elements form, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in the memory storage and be carried out by calculation element, perhaps they are made into each integrated circuit modules respectively, perhaps a plurality of modules in them or step are made into the single integrated circuit module and realize.Like this, the present invention is not restricted to any specific hardware and software combination.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (11)

1. a small coal mine monitoring method is characterized in that, comprising:
Obtain the satellite remote-sensing image data;
Described satellite remote-sensing image data are carried out decipher, to extract the topographical features data that described satellite remote-sensing image data are reflected; And
Obtain the Monitoring Data of small coal mine by described topographical features data,
Wherein, the Monitoring Data of obtaining small coal mine by described topographical features data comprises:
The topographical features that small coal mine is produced is analyzed in advance;
Data after utilize analyzing are obtained topographical features that described small coal mine produces and are reflected in difference characteristic on the described satellite remote-sensing image data; And
In the satellite remote-sensing image data, obtain the information relevant with described small coal mine by described difference characteristic.
2. small coal mine monitoring method according to claim 1 is characterized in that, after obtaining the satellite remote-sensing image data, and before described satellite remote-sensing image data were carried out decipher, described method also comprised:
Obtain basic data; And
Utilizing described basic data that described satellite remote-sensing image data are carried out geometric correction handles.
3. small coal mine monitoring method according to claim 2 is characterized in that, is utilizing described basic data described satellite remote-sensing image data to be carried out after geometric correction handles, and described method also comprises:
The satellite remote-sensing image data of correcting are carried out spatial resolution and the spectral information that image co-registration handles to strengthen described satellite remote-sensing image data; And
Satellite remote-sensing image data after strengthening are spared look to be handled.
4. small coal mine monitoring method according to claim 1 is characterized in that, described satellite remote-sensing image data are carried out decipher, comprises to extract the topographical features data that described satellite remote-sensing image data are reflected:
Extract the surface collapse information that described satellite remote-sensing image data reflect; And/or
Extract the ground fissure information that described satellite remote-sensing image data reflect.
5. small coal mine monitoring method according to claim 1 is characterized in that, obtains the information relevant with described small coal mine by described difference characteristic in the satellite remote-sensing image data and comprises:
The spectral information difference of utilizing different topographical features to reflect at remote sensing image is analyzed the characteristic element on the described satellite remote-sensing image data, to determine position and the distribution range of small coal mine.
6. a small coal mine monitoring device is characterized in that, comprising:
First acquisition module is used for obtaining the satellite remote-sensing image data;
Extraction module is used for described satellite remote-sensing image data are carried out decipher, to extract the topographical features data that described satellite remote-sensing image data are reflected; And
Monitoring modular, for the Monitoring Data of obtaining small coal mine by described topographical features data,
Wherein, described monitoring modular comprises:
Analyze submodule, the topographical features that is used in advance small coal mine being produced is analyzed;
First obtains submodule, and the data after be used for to utilize analyzing are obtained topographical features that described small coal mine produces and are reflected in difference characteristic on the described satellite remote-sensing image data; And
Second obtains submodule, is used for obtaining the information relevant with described small coal mine by described difference characteristic in the satellite remote-sensing image data.
7. small coal mine monitoring device according to claim 6 is characterized in that, also comprises:
Second acquisition module is used for obtaining basic data; And
Correct module, be used for utilizing described basic data that described satellite remote-sensing image data are carried out geometric correction and handle.
8. small coal mine monitoring device according to claim 7 is characterized in that, also comprises:
Strengthen module, be used for the satellite remote-sensing image data of correcting are carried out spatial resolution and the spectral information that image co-registration handles to strengthen described satellite remote-sensing image data; And
Even look module is used for that the satellite remote-sensing image data after strengthening are spared look and handles.
9. small coal mine monitoring device according to claim 6 is characterized in that, described extraction module comprises:
First extracts submodule, is used for extracting the surface collapse information that described satellite remote-sensing image data reflect; And/or
Second extracts submodule, is used for extracting the ground fissure information that described satellite remote-sensing image data reflect.
10. small coal mine monitoring device according to claim 6, it is characterized in that, described second obtains submodule for the spectral information difference of utilizing different topographical features to reflect at remote sensing image, characteristic element on the described satellite remote-sensing image data is analyzed, to determine position and the distribution range of small coal mine.
11. a data processing equipment is characterized in that, comprises each described small coal mine monitoring device in the claim 6 to 10.
CN 201210092039 2012-03-30 2012-03-30 Small coal mine monitoring method and device and data processing equipment Active CN102621591B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201210092039 CN102621591B (en) 2012-03-30 2012-03-30 Small coal mine monitoring method and device and data processing equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201210092039 CN102621591B (en) 2012-03-30 2012-03-30 Small coal mine monitoring method and device and data processing equipment

Publications (2)

Publication Number Publication Date
CN102621591A CN102621591A (en) 2012-08-01
CN102621591B true CN102621591B (en) 2013-08-14

Family

ID=46561616

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201210092039 Active CN102621591B (en) 2012-03-30 2012-03-30 Small coal mine monitoring method and device and data processing equipment

Country Status (1)

Country Link
CN (1) CN102621591B (en)

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070067106A1 (en) * 2005-09-20 2007-03-22 Antoine Lennox B Streaming geometry using quasi-pyramidal structure
US8615362B2 (en) * 2008-10-10 2013-12-24 Westerngeco L.L.C. Near-surface geomorphological characterization based on remote sensing data
CN102176065B (en) * 2010-12-17 2012-10-03 神华集团有限责任公司 Method for detecting coal by virtue of satellite remote sensing
CN102176061B (en) * 2010-12-29 2012-10-03 神华集团有限责任公司 Radar satellite remote sensing coal-exploration method

Also Published As

Publication number Publication date
CN102621591A (en) 2012-08-01

Similar Documents

Publication Publication Date Title
Salvini et al. The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modelling
CN107271998B (en) Underground illegal mining identification method and system integrating D-InSAR and GIS technologies
Casini et al. Fracture characterization and modeling from virtual outcrops
Cao et al. Automatic fracture detection based on Terrestrial Laser Scanning data: A new method and case study
Pucci et al. Quaternary geology of the middle Aterno valley, 2009 L'Aquila earthquake area (Abruzzi apennines, Italy)
Gold et al. A terrestrial lidar-based workflow for determining three–dimensional slip vectors and associated uncertainties
Zhou et al. Machine‐learning‐facilitated earthquake and anthropogenic source detections near the Weiyuan Shale Gas Blocks, Sichuan, China
Minisini et al. Geological data extraction from lidar 3-D photorealistic models: A case study in an organic-rich mudstone, Eagle Ford Formation, Texas
CN102607529A (en) Measurement method and device for mining area environment, and data processing equipment
CN105114067A (en) Lithology electrofacies method
Corradetti et al. Quantitative analysis of folds by means of orthorectified photogrammetric 3D models: a case study from Mt. Catria, Northern Apennines, Italy
CN108761565B (en) Method for evaluating quality, device, equipment and the storage medium of airborne gravity measurement
Xu et al. Comprehensive identification of statistical homogeneity of fractured rock masses for a candidate HLW repository site, China
Iaccarino et al. Onsite earthquake early warning: predictive models for acceleration response spectra considering site effects
Gürsoy et al. Determining lateral offsets of rocks along the eastern part of the North Anatolian Fault Zone (Turkey) using spectral classification of satellite images and field measurements
Mohammadigheymasi et al. IPIML: A deep-scan earthquake detection and location workflow Integrating Pair-Input deep learning model and Migration Location method
CN102621591B (en) Small coal mine monitoring method and device and data processing equipment
Morton et al. Preliminary event detection of earthquakes using the Cascadia Initiative data
Waldhauser et al. Reference events for regional seismic phases at IMS stations in China
Gao et al. Site-scale bedrock fracture modeling of a spent fuel reprocessing site based on borehole group in Northwest, China
Suckale et al. Probabilistic seismic hazard model for Vanuatu
Faenza et al. The shakemap atlas for the city of naples, Italy
Ayala Cabrera et al. Dynamic management of water supply systems: A tool to build scenarios by merging GPR surveys and augmented reality
De Iuliis et al. On the combined use of satellite and on-site information for monitoring anomalous trends in structures within cultural heritage sites
Schütze et al. MONACO—Monitoring Approach for Geological CO 2 Storage Sites Using a Hierarchical Observation Concept

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant