CN107655457B - A kind of Geological Hazards of debris recognition methods based on remote sensing satellite image - Google Patents
A kind of Geological Hazards of debris recognition methods based on remote sensing satellite image Download PDFInfo
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- CN107655457B CN107655457B CN201611206995.2A CN201611206995A CN107655457B CN 107655457 B CN107655457 B CN 107655457B CN 201611206995 A CN201611206995 A CN 201611206995A CN 107655457 B CN107655457 B CN 107655457B
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Abstract
A kind of Geological Hazards of debris recognition methods based on remote sensing satellite image, including：According to historical disaster data and meteorological present situation, Primary Location is carried out to mud-stone flow disaster region；According to the disaster position of Primary Location, the satellite image data of position is obtained；Computer Automatic Recognition is carried out to the mud-rock flow generation area in satellite image, extracts the mud-rock flow region of automatic identification；According to the position in the mud-rock flow region of automatic identification, the dem data of position is obtained；Satellite image, dem data are carried out image co-registration, and carry out image enhancement, the 3D landform images with elevation information are generated；Based on 3D landform images, artificial correction is carried out to the mud-rock flow region of automatic identification；According to revised mud-rock flow identification region, Geological Hazards of debris area image is drawn, and combine other datas, judge possibility, scale and resolution that disaster further occurs.
Description
This technology is suitable for Geological Hazards Monitoring field, specifically a kind of mud-rock flow geology calamity based on remote sensing satellite image
Evil recognition methods.
Background technology
The influence of mud-stone flow disaster expands to the numerous areas such as city, industry, ecological environment by past agricultural.Mudflow
It is a kind of common geological disaster in loess plateau, it breaks out unexpected, breaks with tremendous force and rapid, destructive power is strong, to Loess Plateau Region
Industrial and agricultural production and people's lives cause serious harm.The mudflow of burst often rushes in village and cities and towns, damage house,
Factory, enterprises and institutions and various equipment and facility also bury people and animals and farmland, notably cause village to ruin people and die.Face monitoring police
Forecast of the report i.e. in zero hour to a few hours is according to Pluviogram hourly, force of rain information, dangerous omen, monitoring instrument system
Determine foundation, to the mud-rock flow of cities and towns, industrial and mineral and traffic and transportation sector face calamity take refuge with succour it is significant.
Traditional mud-stone flow disaster investigation relies primarily on field reconnaissance completion.Since mud-rock flow takes place mostly in mountain area, ground
Shape landforms are sufficiently complex, the equal extreme of weather conditions, transportation condition, operating condition, life condition, and field investigation works not only
Be difficult to carry out, and to emit great life danger, cause mud-stone flow disaster situation at all can not comprehensively, fast investigation it is clear
Chu.
3S technologies, that is, GPS geo-location system, RS remote sensing technologies, GIS GIS-Geographic Information System, be it is a kind of it is convenient, fast, at
The mode of this relatively low and effective identification, judgement.Vanguard satellite can provide global history remotely-sensed data in the world at present.Pass through
Comparison and analysis to Geological Hazards of debris area historical data can be selection and the calamity of Geological Hazards of debris area administration way
Harmful development trend provides a large amount of true and reliable data.GIS technology has the function of the interpretation analysis powerful to remotely-sensed data, is
Geological Hazards of debris administers the effective platform provided with monitoring.
Invention content
It is an object of the invention to the problems in for the above-mentioned prior art, provide a kind of mud based on remote sensing satellite image
Rock glacier geological disaster recognition methods, it is characterised in that include the following steps：
Step 1, according to historical disaster data and meteorological present situation, Primary Location is carried out to mud-stone flow disaster region；
Step 2, according to the disaster position of Primary Location, the satellite image data of position is obtained；
Step 3, Computer Automatic Recognition is carried out to the mud-rock flow generation area in satellite image, extracts the mud of automatic identification
Rock glacier region；
Step 4, according to the position in the mud-rock flow region of automatic identification, the dem data of position is obtained；
Step 5, satellite image, dem data are carried out image co-registration, and carries out image enhancement, generating has elevation information
3D landform images；
Step 6,3D landform images are based on, artificial correction is carried out to the mud-rock flow region of automatic identification；
Step 7, according to revised mud-rock flow identification region, Geological Hazards of debris area image is drawn, and combine it
His data, judges possibility, scale and resolution that disaster further occurs.
Preferably, wherein the step 1 carries out mud-stone flow disaster region according to historical disaster data and meteorological present situation
Primary Location specifically includes：According to data information, expert easily sends out mud-stone flow disaster in region by experience and carries out preliminary prediction
Positioning, alternatively, technical staff, which carries GPS device, goes to the areas Geological Hazards of debris Yi Fa or mud-rock flow disaster area, to disaster region
Carry out Primary Location.
Preferably, wherein the satellite image data of the step 2, acquisition is the T M images for including 7 wave bands.
Preferably, wherein the step 3 carries out Computer Automatic Recognition to the mud-rock flow generation area in satellite image
Before, further include that image preprocessing step is carried out to satellite image, described image pretreatment includes：Geometric correction, multiband number
Word synthesis, image mosaic.
Preferably, wherein the step 4, the dem data are earth surface model, have recorded region ground
Height value and topographic(al) feature.
Preferably, wherein the step 7, other datas include：Meteorological data, hydrographic data, vegetation data,
Shape relief data, geologic data, mankind's activity data；Wherein, the meteorological data includes precipitation situation, and the hydrology factor includes ground
Table water and underground aqueous condition, vegetation data include vegetation bed course situation, and topography and geomorphology data include the gradient, absolute elevation, opposite
Height difference, width, length of grade, slope aspect, geologic data include rift structure, formation lithology, and mankind's activity data include soil exploitation shape
Condition.
3S technologies are by a kind of Geological Hazards of debris recognition methods based on remote sensing satellite image provided by the invention
The combination of GPS (global positioning system), RS (remote sensing), GIS (GIS-Geographic Information System) three, determine mud-rock flow generation area
Position, analysis, final scale, the extent of injury for realizing identification mud-rock flow are that a kind of convenient, fast, cost is relatively low and effective calamity
The mode of evil identification and judgement.
Description of the drawings
Method flow diagram proposed by the invention Fig. 1.
Specific implementation mode
For a better understanding of the present invention, with reference to the description of the embodiment of the accompanying drawings, the method for the present invention is carried out
Further instruction.
In order to fully understand the present invention, numerous details are referred in the following detailed description.But art technology
Personnel are it should be understood that the present invention may not need these details and realize.In embodiment, it is not described in detail well known side
Method, process, component, in order to avoid unnecessarily make embodiment cumbersome.
Shown in Figure 1, the present invention of the invention provides a kind of Geological Hazards of debris knowledge based on remote sensing satellite image
Other method, it is characterised in that include the following steps：
Step 1, according to historical disaster data and meteorological present situation, Primary Location is carried out to mud-stone flow disaster region；
Step 2, according to the disaster position of Primary Location, the satellite image data of position is obtained；
Step 3, Computer Automatic Recognition is carried out to the mud-rock flow generation area in satellite image, extracts the mud of automatic identification
Rock glacier region；
Step 4, according to the position in the mud-rock flow region of automatic identification, the dem data of position is obtained；
Step 5, satellite image, dem data are carried out image co-registration, and carries out image enhancement, generating has elevation information
3D landform images；
Step 6,3D landform images are based on, artificial correction is carried out to the mud-rock flow region of automatic identification；
Step 7, according to revised mud-rock flow identification region, Geological Hazards of debris area image is drawn, and combine it
His data, judges possibility, scale and resolution that disaster further occurs.
Preferably, wherein the step 1 carries out mud-stone flow disaster region according to historical disaster data and meteorological present situation
Primary Location specifically includes：According to data information, expert easily sends out mud-stone flow disaster in region by experience and carries out preliminary prediction
Positioning, alternatively, technical staff, which carries GPS device, goes to the areas Geological Hazards of debris Yi Fa or mud-rock flow disaster area, to disaster region
Carry out Primary Location.
Preferably, wherein the satellite image data of the step 2, acquisition is the T M images for including 7 wave bands.
Preferably, wherein the step 3 carries out Computer Automatic Recognition to the mud-rock flow generation area in satellite image
Before, further include that image preprocessing step is carried out to satellite image, described image pretreatment includes：Geometric correction, multiband number
Word synthesis, image mosaic.
Preferably, wherein the step 4, the dem data are earth surface model, have recorded region ground
Height value and topographic(al) feature.
Preferably, wherein the step 7, other datas include：Meteorological data, hydrographic data, vegetation data,
Shape relief data, geologic data, mankind's activity data；Wherein, the meteorological data includes precipitation situation, and the hydrology factor includes ground
Table water and underground aqueous condition, vegetation data include vegetation bed course situation, and topography and geomorphology data include the gradient, absolute elevation, opposite
Height difference, width, length of grade, slope aspect, geologic data include rift structure, formation lithology, and mankind's activity data include soil exploitation shape
Condition.
Preferably, wherein the step 3 carries out Computer Automatic Recognition to the mud-rock flow generation area in satellite image,
The mud-rock flow region for extracting automatic identification, specifically includes：
Step 3-1 carries out atural object segmentation in satellite image, is partitioned into the region where different atural objects；
Step 3-2, the spectral signature of different zones after extraction atural object segmentation；
Step 3-3 establishes mud-rock flow discrimination index；
Step 3-4 calculates discrimination index according to the spectral signature of different zones, and extraction is wherein more than the discrimination index of threshold value
The region at place；
Step 3-5, using the region extracted as the result of debris flow region Computer Automatic Recognition.
Preferably, wherein the step 6 is based on 3D landform images, is manually repaiied to the mud-rock flow region of automatic identification
Just, it specifically includes：
Step 6-1 establishes mud-rock flow manual identified geometric landmarks according to geometric shape of the debris flow region on image；
Geometric shape of the debris flow region on image is shown as：Including rear wall, gliding mass, leading edge, source area, Circulation Area, accumulation
Area；
Step 6-2, the geometry formed by distinguishing the color, tone, texture or the shade that are had differences with periphery atural object
Morphological landmarks are modified the Computer Automatic Recognition result of debris flow region.
Preferably, wherein the step 3-3, mud-rock flow discrimination index are：
Wherein, LTMiIndicate that the brightness value of TM the i-th wave bands of image, a indicate correction value.
As it can be seen that the present invention is by 3S technologies, that is, GPS (global positioning system), RS (remote sensing), GIS (GIS-Geographic Information System) three
Combination, mud-rock flow generation area is positioned, is analyzed, final scale, the extent of injury for realizing identification mud-rock flow is a kind of
Convenient, fast, cost is relatively low and the mode of effective disaster identification and judgement.
Here the preferred embodiment of the present invention is only illustrated, but its meaning is not intended to limit the scope of the invention, applicability and is matched
It sets.On the contrary, detailed explanation of the embodiments can be implemented by those skilled in the art.It will be understood that without departing from appended power
In the case of the spirit and scope of the invention that sharp claim determines, changes and modifications may be made to details.
Claims (6)
1. a kind of Geological Hazards of debris recognition methods based on remote sensing satellite image, it is characterised in that include the following steps：
Step 1, according to historical disaster data and meteorological present situation, Primary Location is carried out to mud-stone flow disaster region；
Step 2, according to the disaster position of Primary Location, the satellite image data of position is obtained；
Step 3, Computer Automatic Recognition is carried out to the mud-rock flow generation area in satellite image, extracts the mud-rock flow of automatic identification
Region specifically includes：
Step 3-1 carries out atural object segmentation in satellite image, is partitioned into the region where different atural objects；
Step 3-2, the spectral signature of different zones after extraction atural object segmentation；
Step 3-3 establishes mud-rock flow discrimination index；The mud-rock flow discrimination index of establishing is：
Wherein, LTMiIndicate that the brightness value of TM the i-th wave bands of image, i=[2,5], a indicate correction value；
Step 3-4 calculates discrimination index according to the spectral signature of different zones, and extraction is wherein more than where the discrimination index of threshold value
Region；
Step 3-5, using the region extracted as the result of debris flow region Computer Automatic Recognition；
Step 4, according to the position in the mud-rock flow region of automatic identification, the dem data of position is obtained；
Step 5, satellite image, dem data are carried out image co-registration, and carries out image enhancement, generate the 3D with elevation information
Landform image；
Step 6,3D landform images are based on, artificial correction is carried out to the mud-rock flow region of automatic identification, including：
Step 6-1 establishes mud-rock flow manual identified geometric landmarks according to geometric shape of the debris flow region on image；It is described
Geometric shape of the debris flow region on image is shown as：Including rear wall, gliding mass, leading edge, source area, Circulation Area, accumulation area；
Step 6-2, the geometric shape formed by distinguishing the color, tone, texture or the shade that are had differences with periphery atural object
Mark, is modified the Computer Automatic Recognition result of debris flow region；
Step 7, according to revised mud-rock flow identification region, Geological Hazards of debris area image is drawn, and combines other moneys
Expect data, judges possibility, scale and resolution that disaster further occurs.
2. according to the method described in claim 1, wherein, the step 1, according to historical disaster data and meteorological present situation, to mud
Rock glacier disaster region carries out Primary Location, specifically includes：According to data information, expert is by experience to the areas mud-stone flow disaster Yi Fa
Domain carries out preliminary prediction positioning, alternatively, technical staff, which carries GPS device, goes to the areas Geological Hazards of debris Yi Fa or mud-rock flow
Disaster area carries out Primary Location to disaster region.
3. according to the method described in claim 1, wherein, the step 2, the satellite image data of acquisition is to include 7 wave bands
TM images.
4. according to the method described in claim 1, wherein, the step 3 carries out the mud-rock flow generation area in satellite image
Further include that image preprocessing step is carried out to satellite image, described image pretreatment includes before Computer Automatic Recognition：Geometry
Correction, multiband digit synthesis, image mosaic.
5. according to the method described in claim 1, wherein, the step 4, the dem data is earth surface model, is had recorded
The height value and topographic(al) feature on region ground.
6. according to the method described in claim 1, wherein, the step 7, other datas include：Meteorological data, hydrology number
According to, vegetation data, topography and geomorphology data, geologic data, mankind's activity data；Wherein, the meteorological data includes precipitation situation,
Hydrographic data includes surface water and groundwater situation, and vegetation data include vegetation bed course situation, topography and geomorphology data include the gradient,
Absolute elevation, relative relief, width, length of grade, slope aspect, geologic data include rift structure, formation lithology, mankind's activity data packet
Include soil Exploitation Status.
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| CN116030354B (en) * | 2023-03-29 | 2023-06-16 | 东华理工大学南昌校区 | Geological disaster analysis method and system based on remote sensing data fusion |
| CN117115644A (en) * | 2023-08-08 | 2023-11-24 | 江苏省地质调查研究院 | Disaster analysis method and device based on image data |
| CN117649608B (en) * | 2024-01-29 | 2024-03-29 | 阿坝州林业和草原科学技术研究所 | Pine wood nematode disease identification system and method based on remote sensing monitoring |
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