CN106408585A - Ecological landscape slope monitoring system - Google Patents
Ecological landscape slope monitoring system Download PDFInfo
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- CN106408585A CN106408585A CN201611085122.0A CN201611085122A CN106408585A CN 106408585 A CN106408585 A CN 106408585A CN 201611085122 A CN201611085122 A CN 201611085122A CN 106408585 A CN106408585 A CN 106408585A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 21
- 238000006073 displacement reaction Methods 0.000 claims abstract description 13
- 238000012545 processing Methods 0.000 claims abstract description 13
- 238000012360 testing method Methods 0.000 claims description 25
- 239000002689 soil Substances 0.000 claims description 12
- 238000000034 method Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 abstract 4
- 238000012806 monitoring device Methods 0.000 abstract 2
- 230000004927 fusion Effects 0.000 description 11
- 238000011156 evaluation Methods 0.000 description 9
- 230000009466 transformation Effects 0.000 description 7
- 238000006243 chemical reaction Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 239000011435 rock Substances 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000002068 genetic effect Effects 0.000 description 2
- 238000013441 quality evaluation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
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- Engineering & Computer Science (AREA)
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- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Image Processing (AREA)
Abstract
The invention discloses an ecological landscape slope monitoring system. The system comprises a sensor-based acquisition subsystem, a GPS positioning subsystem, and a monitoring subsystem. The sensor-based acquisition subsystem is used for acquiring relevant information of a detection point of an ecological landscape slope through a sensor, wherein the relevant information includes the displacement, earth pressure and slope image of the detection point; the GPS positioning subsystem is used for positioning the detection point when the sensor-based acquisition subsystem is acquiring the relevant information; and the monitoring subsystem is connected with the sensor-based acquisition subsystem, and is used for processing the relevant information and displaying the processed relevant information and a corresponding location of the detection point. According to the invention, the image information of a slope at a specific location can be acquired by a camera device and sent to a monitoring device, so the monitoring personnel have a more intuitive understanding of the actual state of the slope through the monitoring device.
Description
Technical field
The present invention relates to slope monitoring field is and in particular to a kind of ecoscape slope monitoring system.
Background technology
Existing slope monitoring technology mainly by obtain the parameters such as displacement at the test point in side slope, soil pressure Lai
Analysis of slope state, and lack the acquisition of side slope image information.Therefore, monitoring personnel cannot intuitively observe the reality of side slope
Border state.Additionally, when side slope state is analyzed, monitoring personnel also cannot comprehensively to determine side in conjunction with side slope image information
The virtual condition on slope.Only to judge side slope state with parameters such as described displacement, soil pressures, result is often not comprehensive and accurate.
Content of the invention
For solving the above problems, the present invention is intended to provide a kind of ecoscape slope monitoring system.
The purpose of the present invention employs the following technical solutions to realize：
A kind of ecoscape slope monitoring system, obtains subsystem, GPS location subsystem, monitoring subsystem including sensor
System, described sensor obtains subsystem for obtaining the relevant information at the test point of ecoscape side slope, institute by sensor
State displacement, soil pressure and the side slope image that relevant information includes test point；Described GPS location subsystem is used for obtaining in sensor
Subsystem positions to test point when obtaining relevant information；Described Monitor And Control Subsystem obtains subsystem with sensor and is connected, and uses
Relevant information after described relevant information is carried out with process display processing and corresponding test point position.
Beneficial effects of the present invention are：The image information of the side slope of particular location can be obtained using camera head, and will
This image information is provided to supervising device, so that monitoring personnel can be by this supervising device come more intuitively
The virtual condition of solution side slope.
Brief description
Using accompanying drawing, the invention will be further described, but the embodiment in accompanying drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, on the premise of not paying creative work, can also obtain according to the following drawings
Other accompanying drawings.
Fig. 1 is the structure connection diagram of the present invention；
Fig. 2 is the structure connection diagram of image processing apparatus of the present invention.
Reference：
Sensor obtains subsystem 1, GPS location subsystem 2, Monitor And Control Subsystem 3, image processing apparatus 4, image collection mould
Block 11, pretreatment module 12, Fusion Module 13, image scoring modules 14.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, a kind of ecoscape slope monitoring system of the present embodiment, including sensor obtain subsystem 1,
GPS location subsystem 2, Monitor And Control Subsystem 3, described sensor obtains subsystem 1 and is used for obtaining ecoscape side by sensor
Relevant information at the test point on slope, described relevant information includes displacement, soil pressure and the side slope image of test point；Described GPS
Positioning subsystem 2 is used for when sensor obtains subsystem 1 acquisition relevant information, test point being positioned；Described monitoring subsystem
System 3 with sensor obtain subsystem 1 be connected, for described relevant information is carried out process and display processing after relevant information with
Corresponding test point position.
Preferably, described sensor acquisition subsystem 1 includes displacement transducer, soil pressure sensor and camera head, institute
Displacement sensors are arranged at the test point in side slope, for detecting and sending the displacement at described test point；Described soil pressure
Force snesor is arranged at the test point in side slope, for detecting and sending the soil pressure at described test point；Described shooting dress
Put relative with described side slope, for obtaining and sending the image of described side slope.
Preferably, described Monitor And Control Subsystem 3 includes the image processing apparatus 4 for processing described image.
The above embodiment of the present invention can obtain the image information of the side slope of particular location using camera head, and by this figure
As information is provided to supervising device, so that monitoring personnel can more be visually known side by this supervising device
The virtual condition on slope.
Preferably, described image processing meanss 4 include image collection module 11, pretreatment module 12, Fusion Module 13 and
Image scoring modules 14；Described image collection module 11 is used for gathering the source visible images with regard to target and source infrared image；
The described pretreatment module 12 source visible images different to focusing and source infrared image carry out image registration；Described Fusion Module
13 are used for the image after merging registration；Described image scoring modules 14 are used for evaluating the image after merging, and select evaluation qualified
Image is as final image.This preferred embodiment devises the module architectures of image processing apparatus 4, thus realizing side slope image
The function of processing.
Preferably, described image collection module 11 eliminates low-quality image in collection, and it sets up image quality evaluation
Function employs the mode that subjective assessment and objective evaluation combine：
In formula, δ1、δ2、δ3For various factor of evaluation proportions, δ1<δ2<δ3And δ1+δ2+δ3=1, FiPass through for i ＆ lt
Subjective assessment and give the fraction of image, ZiGive the fraction of image for i ＆ lt by objective evaluation, χ represents the peak of image
Value signal to noise ratio, N is the number of times carrying out subjective assessment, and M is the number of times carrying out objective evaluation.This preferred embodiment introduces picture quality
Evaluation function, can reject ropy image, improve later stage treatment effeciency.
Preferably, described pretreatment module 12 includes：(1) line segment feature submodule：Using source infrared image as with reference to figure
Picture, as image subject to registration, the line segment feature detecting source visible images is as registering foundation for source visible images；(2) throw
Shadow transformation submodule：Conversion is implemented to the line segment feature in the visible images of source using projective transformation, the arrow that transformation parameter is constituted
Measure and be(3) measure submodule：Metric function, tolerance source infrared image line are built using the measurement criterion based on orientation consistency
The similitude of the source visible images line segment feature after Duan Tezheng and conversion, if meeting preset requirement, return parametersIf
It is unsatisfactory for requiring, then proceed to parameter update module；(4) genetic computation submodule：Using genetic algorithm pairIt is updated.
This preferred embodiment carries out registration to image before fusion, greatly improves fusion efficiencies, improves side slope figure
The treatment effect of picture.
Preferably, described Fusion Module 13 includes HSV transformation submodule, component acquisition submodule, merges submodule, two generations
Curvelet inverse transform module and HSV inverse transform module；Described HSV transformation submodule is used for pretreated source visible ray figure
Convert and extract chrominance component H, saturation degree component S and lightness component V as carrying out HSV；Described component acquisition submodule is used for will
Pretreated source infrared image and lightness component V make two generation Curvelet conversion respectively, to obtain each leisure (x, y) position
Low frequency component and high fdrequency component, here sets the corresponding low frequency component of source infrared image as Ly(x, y), high fdrequency component are My(x,y)；
The corresponding low frequency component of lightness component V is LV(x, y), high fdrequency component is MV(x,y)；Described fusion submodule includes low frequency component
Integrated unit and high fdrequency component integrated unit, its low frequency components integrated unit is used for described low frequency component Ly(x,y)、LV(x,
Y) merged, high fdrequency component integrated unit is used for high fdrequency component My(x,y)、MV(x, y) is merged；Described two generations
Curvelet inverse transform module is used for the low frequency component L after mergingyVHigh fdrequency component M after (x, y) and fusionyV(x, y) is carried out
Two generation Curvelet inverse transformations, to obtain new lightness component VΩ；Described HSV inverse transform module, for H, S, VΩThree points
Amount does HSV inverse transformation, finally gives fused images Ω.
Preferably, described low frequency component integrated unit is to described low frequency component Ly(x,y)、LV(x, y) generates after being merged
Low frequency component LyV(x, y) is：
If a is Ly(x, y)=0 or LVDuring (x, y)=0：
LyV(x, y)=Ly(x,y)+LV(x,y)；
If b is Ly(x, y) ≠ 0 or LVDuring (x, y) ≠ 0：
Described high fdrequency component integrated unit is to high fdrequency component My(x,y)、MVWhen (x, y) is merged, introduce match measure because
Son：
Wherein, F=1 ... ψ, F represent the decomposed class of two generation Curvelet conversion, and ψ is two generation Curvelet conversion
Maximum decomposition level；F=1 ... during ψ -1,The pixel information quality average of the source visible images for calculating,Pixel information quality average for source infrared image；During F=ψ,For source visible images medium-high frequency
Band and the Direction Contrast of low frequency sub-band,Direction Contrast for source infrared image medium-high frequency subband and low frequency sub-band；Expression source visible ray
Image is under highest resolution λ, on α direction, the zone signal intensities in 3 × 3 windows；The infrared figure in expression source
As the zone signal intensities under highest resolution λ, on α direction, in 3 × 3 windows；
If Pj(x, y)≤T, then high fdrequency component M after mergingyVThe selection formula of (x, y) is：
If Pj(x,y)>T, then high fdrequency component M after mergingyVThe selection formula of (x, y) is：
a、When：
b、When：
Wherein, T is the threshold value setting.
This preferred embodiment combines low frequency component integrated unit and high fdrequency component integrated unit, and high fdrequency component and low frequency are divided
Amount is merged using different fusion formula, more targetedly, can preferably describe the target signature information in image；
Introduce weighted factor to calculate the high fdrequency component after fusion, can preferably retain the useful information in source images；Introduce coupling
Estimate the factor to calculate the high fdrequency component after fusion, be fully extracted thermal target characteristic information and the source visible ray of source infrared image
The background characteristics information that image enriches, fused images details is clear, edge-smoothing, has and more preferably merges performance and vision effect
Really.
Inventor has carried out a series of tests using the present embodiment, is below by testing the experimental data obtaining：
| Side slope situation | Definition | Recall rate | Error rate |
| Slope test point displacement | — | — | 0% |
| Slope test point soil pressure | — | — | 0% |
| Falling rocks：Diameter 10cm | 100% | 100% | — |
| Falling rocks：Diameter 5cm | 100% | 100% | — |
| Falling rocks：Diameter 1cm | 98% | 99% | — |
| Exposed hill pit | 100% | 100% | — |
| Plant landscape band is damaged：Diameter 5cm | 100% | 100% | — |
| Plant landscape band is damaged：Diameter 1cm | 97% | 98% | — |
Preferably, described image scoring modules 14 include：
(1) first evaluation unit：Using the first evaluation factor P1Syncretizing effect is estimated：
PX1=(R1-I0)(R1-V0)
Wherein, R1For the discrimination power of fused image, I0For merging the discrimination power of front source infrared image, V0For merging front source
The discrimination power of visible images；Work as PX1>0, decision fusion effect is qualified；
(2) second evaluation units：Using the second evaluation factor P2It is estimated to merging speed：
PS2=(T1-I1)(T1-V1)
Wherein, T1For the identification time of fused image, I1For merging the identification time of front source infrared image, V1For merging
The identification time of front source visible images；
If PS2<0, then merge speed qualified.
This preferred embodiment can improve the practicality of side slope image procossing conscientiously.
In conjunction with above-described embodiment, 28% is improve relatively to the syncretizing effect of the image of ecoscape side slope, merges speed
Relatively improve 9%.
Finally it should be noted that above example is only in order to illustrating technical scheme, rather than the present invention is protected
The restriction of shield scope, although having made to explain to the present invention with reference to preferred embodiment, those of ordinary skill in the art should
Work as understanding, technical scheme can be modified or equivalent, without deviating from the reality of technical solution of the present invention
Matter and scope.
Claims (3)
1. a kind of ecoscape slope monitoring system, is characterized in that：Obtain subsystem, GPS location subsystem, prison including sensor
Control subsystem, described sensor is obtained subsystem and is used for being obtained the related letter at the test point of ecoscape side slope by sensor
Breath, described relevant information includes displacement, soil pressure and the side slope image of test point；Described GPS location subsystem is used in sensing
Device obtains when subsystem obtains relevant information and test point is positioned；Described Monitor And Control Subsystem and sensor obtain subsystem even
Connect, for described relevant information is carried out with the relevant information after process display processing and corresponding test point position.
2. a kind of ecoscape slope monitoring system according to claim 1, is characterized in that：Described sensor obtains subsystem
System includes displacement transducer, soil pressure sensor and camera head, and institute's displacement sensors are arranged at the test point in side slope,
For detecting and sending the displacement at described test point；Described soil pressure sensor is arranged at the test point in side slope, is used for
Detect and send the soil pressure at described test point；Described camera head is relative with described side slope, for obtaining and sending described
The image of side slope.
3. a kind of ecoscape slope monitoring system according to claim 2, is characterized in that：Described Monitor And Control Subsystem includes
For processing the image processing apparatus of described image.
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| CN201611085122.0A CN106408585B (en) | 2016-11-28 | 2016-11-28 | A kind of ecoscape slope monitoring system |
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| CN201611085122.0A CN106408585B (en) | 2016-11-28 | 2016-11-28 | A kind of ecoscape slope monitoring system |
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| CN106408585B CN106408585B (en) | 2019-03-15 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106768029A (en) * | 2016-12-02 | 2017-05-31 | 上海巽晔计算机科技有限公司 | A kind of ecoscape safety monitoring slope system |
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| CN101546428A (en) * | 2009-05-07 | 2009-09-30 | 西北工业大学 | Image fusion of sequence infrared and visible light based on region segmentation |
| CN203687993U (en) * | 2014-01-28 | 2014-07-02 | 北京山地生态科技研究所 | Side slope monitoring system |
| CN104700399A (en) * | 2015-01-08 | 2015-06-10 | 东北大学 | Method for demarcating large-deformation landslide displacement field based on high-resolution remote sensing image |
| CN104916077A (en) * | 2015-05-27 | 2015-09-16 | 江西理工大学 | Remote on-line monitoring and early warning system for stability of ion type rare earth slope |
| CN105957311A (en) * | 2016-06-01 | 2016-09-21 | 中国水利水电科学研究院 | Adaptive expansion slope stability intelligent monitoring early warning system |
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2016
- 2016-11-28 CN CN201611085122.0A patent/CN106408585B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1545064A (en) * | 2003-11-27 | 2004-11-10 | 上海交通大学 | Infrared and visible light image fusion method |
| CN101546428A (en) * | 2009-05-07 | 2009-09-30 | 西北工业大学 | Image fusion of sequence infrared and visible light based on region segmentation |
| CN203687993U (en) * | 2014-01-28 | 2014-07-02 | 北京山地生态科技研究所 | Side slope monitoring system |
| CN104700399A (en) * | 2015-01-08 | 2015-06-10 | 东北大学 | Method for demarcating large-deformation landslide displacement field based on high-resolution remote sensing image |
| CN104916077A (en) * | 2015-05-27 | 2015-09-16 | 江西理工大学 | Remote on-line monitoring and early warning system for stability of ion type rare earth slope |
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| CN106768029A (en) * | 2016-12-02 | 2017-05-31 | 上海巽晔计算机科技有限公司 | A kind of ecoscape safety monitoring slope system |
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