CN106874832B - The recognition methods in mud-rock flow burst area in a kind of remote sensing image - Google Patents
The recognition methods in mud-rock flow burst area in a kind of remote sensing image Download PDFInfo
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- CN106874832B CN106874832B CN201611206148.6A CN201611206148A CN106874832B CN 106874832 B CN106874832 B CN 106874832B CN 201611206148 A CN201611206148 A CN 201611206148A CN 106874832 B CN106874832 B CN 106874832B
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Abstract
A kind of recognition methods in mud-rock flow burst area in remote sensing image, characterized in that it comprises the following steps: the acquisition of high resolution ratio satellite remote-sensing image data: the pretreatment of remote sensing image；Computer Automatic Recognition is carried out to mud-rock flow burst area in remote sensing image；According to automatic identification as a result, carrying out artificial correction to mud-rock flow burst area in remote sensing image；Based on final recognition result, hazard prediction is carried out to the regional neighboring area of mud-rock flow burst.The present invention analyzes mud-rock flow generation area by mud-rock flow discrimination index, extracts, the final identification realized to mud-rock flow burst area, understand its scale, the extent of injury, and to the potential disaster-stricken mode that can be carried out prediction, be one kind is convenient, fast, cost is relatively low and effective mud-rock flow burst area identifies of neighboring area.
Description
This technology is suitable for identification and the decision technology field of Geological Hazards of debris, in specifically a kind of remote sensing image
The recognition methods in mud-rock flow burst area.
Background technique
Mud-rock flow refers in mountain area or other cheuch deep gullies, the dangerously steep area of landform because heavy rain, severe snow or other from
The landslide of right disaster initiation and the special mighty torrent for carrying a large amount of silts and stone.Mud-rock flow has sudden and stream
The features such as fast fast, flow is big, and matter content is big and destructive power is strong.Mud-rock flow, which occurs, can usually destroy by rush of water the means of transportation such as road and rail
Even villages and small towns etc., bring about great losses.
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.
With the development of remote sensing, occur combining based on remote sensing images information processing and the differentiation of visual experience
Man computer interactive interpretation and be aided with the mud-rock flow remote Sensing Interpretation method verified on the spot.But this method is too dependent on solution translator's
Know-how and experience accumulation have the defects that low efficiency, precision are low, recognition result is bad.
Summary of the invention
For defect or deficiency present in existing mud-stone flow disaster exploratory techniques and method, the present invention provides one kind
The recognition methods in mud-rock flow burst area in remote sensing image can achieve precisely quickly Geological Hazards of debris identification and determine
Effect.
The recognition methods in mud-rock flow burst area in a kind of remote sensing image of the invention, which is characterized in that including following step
It is rapid:
Step 1, the acquisition of high resolution ratio satellite remote-sensing image data:
Step 2, the pretreatment of remote sensing image；
Step 3, Computer Automatic Recognition is carried out to mud-rock flow burst area in remote sensing image；
Step 4, according to automatic identification as a result, carrying out artificial correction to mud-rock flow burst area in remote sensing image；
Step 5, based on final recognition result, hazard prediction is carried out to the regional neighboring area of mud-rock flow burst.
Preferably, wherein the step 1, satellite remote sensing images data are the TM image comprising 7 wave bands.
Preferably, wherein the step 2, the pretreatment of remote sensing image specifically include: geometric correction, multiband number are closed
At, image mosaic, image enhancement.
Preferably, wherein the step 3 carries out Computer Automatic Recognition, tool to mud-rock flow burst area in remote sensing image
Body includes:
Step 4-1 carries out atural object segmentation in remote sensing image, is partitioned into the region where different atural objects；
Step 4-2 extracts the spectral signature of different zones after atural object segmentation；
Step 4-3 establishes mud-rock flow discrimination index；
Step 4-4 calculates discrimination index according to the spectral signature of different zones, extracts the discrimination index for being wherein greater than threshold value
The region at place；
Step 4-5, using the region extracted as the result of debris flow region Computer Automatic Recognition.
Preferably, wherein the step 4 carries out artificial correction to mud-rock flow burst area in remote sensing image, specific to wrap
It includes:
Step 5-1 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 showed themselves in that comprising rear wall, gliding mass, leading edge, source area, Circulation Area, accumulation
Area；
Step 5-2, the geometry formed by distinguishing the color, tone, texture or the shade that have differences with periphery atural object
Morphological landmarks are modified the Computer Automatic Recognition result of debris flow region.
Preferably, wherein the step 4-3, mud-rock flow discrimination index are as follows:
Wherein, LTMiIndicate that the brightness value of the i-th wave band of TM image, a indicate correction value.
Preferably, wherein the step 5 carries out the regional neighboring area of mud-rock flow burst based on final recognition result
Hazard prediction specifically includes: in conjunction with meteorological factor, the hydrology factor, Vegetation factors, the topography and geomorphology factor, prime factor, the mankind it is living
Reason carries out the prediction of disaster to the regional neighboring area of mud-rock flow burst；Wherein, the meteorological factor includes precipitation situation,
The hydrology factor includes surface water and groundwater situation, and Vegetation factors include vegetation bed course situation, the topography and geomorphology factor include the gradient,
Absolute elevation, relative relief, width, length of grade, slope aspect, ground prime factor include rift structure, formation lithology, and mankind's activity is because of attached bag
Include soil Exploitation Status.
The present invention combines 3S technology, is analyzed by mud-rock flow discrimination index mud-rock flow generation area, is extracted, most
Realize identification to mud-rock flow burst area eventually, understand its scale, the extent of injury, and to neighboring area it is potential it is disaster-stricken may be into
Row prediction is that one kind is convenient, fast, cost is relatively low and the mode of effective mud-rock flow burst area identification.
Detailed description of the invention
Method flow diagram Fig. 1 proposed by the invention.
Specific embodiment
For a better understanding of the present invention, with reference to the description of the embodiment of the accompanying drawings, method of the 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 recognition methods in mud-rock flow burst area, feature exist in a kind of remote sensing image of the invention
In, including the following steps:
Step 1, the acquisition of high resolution ratio satellite remote-sensing image data:
Step 2, the pretreatment of remote sensing image；
Step 3, Computer Automatic Recognition is carried out to mud-rock flow burst area in remote sensing image；
Step 4, according to automatic identification as a result, carrying out artificial correction to mud-rock flow burst area in remote sensing image；
Step 5, based on final recognition result, hazard prediction is carried out to the regional neighboring area of mud-rock flow burst.
Preferably, wherein the step 1, satellite remote sensing images data are the T M image comprising 7 wave bands.
Preferably, wherein the step 2, the pretreatment of remote sensing image specifically include: geometric correction, multiband number are closed
At, image mosaic, image enhancement.
Preferably, wherein the step 3 carries out Computer Automatic Recognition, tool to mud-rock flow burst area in remote sensing image
Body includes:
Step 4-1 carries out atural object segmentation in remote sensing image, is partitioned into the region where different atural objects；
Step 4-2 extracts the spectral signature of different zones after atural object segmentation；
Step 4-3 establishes mud-rock flow discrimination index；
Step 4-4 calculates discrimination index according to the spectral signature of different zones, extracts the discrimination index for being wherein greater than threshold value
The region at place；
Step 4-5, using the region extracted as the result of debris flow region Computer Automatic Recognition.
Preferably, wherein the step 4 carries out artificial correction to mud-rock flow burst area in remote sensing image, specific to wrap
It includes:
Step 5-1 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 showed themselves in that comprising rear wall, gliding mass, leading edge, source area, Circulation Area, accumulation
Area；
Step 5-2, the geometry formed by distinguishing the color, tone, texture or the shade that have differences with periphery atural object
Morphological landmarks are modified the Computer Automatic Recognition result of debris flow region.
Preferably, wherein the step 4-3, mud-rock flow discrimination index are as follows:
Wherein, LTMiIndicate that the brightness value of the i-th wave band of TM image, a indicate correction value.
Preferably, wherein the step 5 carries out the regional neighboring area of mud-rock flow burst based on final recognition result
Hazard prediction specifically includes: in conjunction with meteorological factor, the hydrology factor, Vegetation factors, the topography and geomorphology factor, prime factor, the mankind it is living
Reason carries out the prediction of disaster to the regional neighboring area of mud-rock flow burst；Wherein, the meteorological factor includes precipitation situation,
The hydrology factor includes surface water and groundwater situation, and Vegetation factors include vegetation bed course situation, the topography and geomorphology factor include the gradient,
Absolute elevation, relative relief, width, length of grade, slope aspect, ground prime factor include rift structure, formation lithology, and mankind's activity is because of attached bag
Include soil Exploitation Status.
As it can be seen that the present invention combines 3S technology, mud-rock flow generation area is analyzed by mud-rock flow discrimination index, is mentioned
It takes, the final identification realized to mud-rock flow burst area understands its scale, the extent of injury, and to the potential disaster-stricken of neighboring area
Prediction can be can be carried out, be a kind of mode convenient, fast, cost is relatively low and effective mud-rock flow burst area identifies.
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 (3)
1. the recognition methods in mud-rock flow burst area in a kind of remote sensing image, characterized in that it comprises the following steps:
Step 1, the acquisition of high resolution ratio satellite remote-sensing image data:
Step 2, the pretreatment of remote sensing image；
Step 3, Computer Automatic Recognition is carried out to mud-rock flow burst area in remote sensing image；
Step 4, according to automatic identification as a result, carrying out artificial correction to mud-rock flow burst area in remote sensing image；
Step 5, based on final recognition result, hazard prediction is carried out to the regional neighboring area of mud-rock flow burst；
The step 3 carries out Computer Automatic Recognition to mud-rock flow burst area in remote sensing image, specifically includes:
Step 4-1 carries out atural object segmentation in remote sensing image, is partitioned into the region where different atural objects；
Step 4-2 extracts the spectral signature of different zones after atural object segmentation；
Step 4-3 establishes mud-rock flow discrimination index；
Step 4-4 calculates discrimination index according to the spectral signature of different zones, extracts wherein greater than where the discrimination index of threshold value
Region；
Step 4-5, using the region extracted as the result of debris flow region Computer Automatic Recognition；
The step 4 carries out artificial correction to mud-rock flow burst area in remote sensing image, specifically includes:
Step 5-1 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 showed themselves in that comprising rear wall, gliding mass, leading edge, source area, Circulation Area, accumulation area；
Step 5-2, the geometric shape formed by distinguishing the color, tone, texture or the shade that have differences with periphery atural object
Mark, is modified the Computer Automatic Recognition result of debris flow region；
The step 4-3, mud-rock flow discrimination index are as follows:
Wherein, LTMiIndicate that the brightness value of the i-th wave band of TM image, a indicate correction value；
The step 5 carries out hazard prediction to the regional neighboring area of mud-rock flow burst based on final recognition result, specific to wrap
Include: in conjunction with meteorological factor, the hydrology factor, Vegetation factors, the topography and geomorphology factor, prime factor, the mankind's activity factor, to mud-rock flow
The prediction for the regional neighboring area progress disaster that happens suddenly；Wherein, the meteorological factor includes precipitation situation, and the hydrology factor includes earth's surface
Water and underground aqueous condition, Vegetation factors include vegetation bed course situation, and the topography and geomorphology factor includes the gradient, absolute elevation, relatively high
Difference, width, length of grade, slope aspect, ground prime factor include rift structure, formation lithology, and the mankind's activity factor includes soil Exploitation Status.
2. according to the method described in claim 1, wherein, the step 1, satellite remote sensing images data are comprising 7 wave bands
TM image.
3. according to the method described in claim 1, wherein, the step 2, the pretreatment of remote sensing image specifically includes: geometry school
Just, multiband digit synthesis, image mosaic, image enhancement.
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| CN108509882A (en) * | 2018-03-22 | 2018-09-07 | 北京航空航天大学 | Track mud-rock flow detection method and device |
| CN108846347B (en) * | 2018-06-06 | 2021-06-08 | 广西师范学院 | Rapid extraction method for road landslide area |
| CN111601083A (en) * | 2020-05-18 | 2020-08-28 | 深圳市安泰数据监测科技有限公司 | Monitoring device, system and control method for landslide and debris flow rigid retaining wall |
| CN115083115B (en) * | 2022-06-14 | 2023-11-03 | 成都理工大学 | Debris flow early warning method induced by combined action of rainfall and temperature rise |
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