CN106408585B - A kind of ecoscape slope monitoring system - Google Patents
A kind of ecoscape slope monitoring system Download PDFInfo
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- CN106408585B CN106408585B CN201611085122.0A CN201611085122A CN106408585B CN 106408585 B CN106408585 B CN 106408585B CN 201611085122 A CN201611085122 A CN 201611085122A CN 106408585 B CN106408585 B CN 106408585B
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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Abstract
The invention discloses a kind of ecoscape slope monitoring systems, subsystem, GPS positioning subsystem, Monitor And Control Subsystem are obtained including sensor, the sensor obtains the relevant information that subsystem is used at the test point by sensor acquisition ecoscape side slope, and the relevant information includes displacement, soil pressure and the side slope image of test point；The GPS positioning subsystem is used to obtain when subsystem obtains relevant information in sensor and position to test point；The Monitor And Control Subsystem and sensor obtain subsystem and connect, for being handled the relevant information and being shown treated relevant information and corresponding test point position.The present invention can use the image information that photographic device obtains the side slope of specific location, and the image information is provided to monitoring device, so that monitoring personnel can more intuitively understand the virtual condition of side slope by the monitoring device.
Description
Technical field
The present invention relates to slope monitoring fields, and in particular to a kind of ecoscape slope monitoring system.
Background technique
Existing slope monitoring technology be mainly by obtain the parameters such as displacement, soil pressure at the test point in side slope come
Analysis of slope state, and lack the acquisition of side slope image information.Therefore, monitoring personnel can not intuitively observe the reality of side slope
Border state.In addition, monitoring personnel can not also integrate determining side in conjunction with side slope image information when side slope state is analyzed
The virtual condition on slope.Only side slope state is judged with parameters such as the displacement, soil pressures, it is as a result often not comprehensive enough and accurate.
Summary of the invention
To solve the above problems, the present invention is intended to provide a kind of ecoscape slope monitoring system.
The purpose of the present invention is realized using following technical scheme:
A kind of ecoscape slope monitoring system, including sensor obtain subsystem, GPS positioning subsystem, monitoring subsystem
System, the sensor obtain the relevant information that subsystem is used at the test point by sensor acquisition ecoscape side slope, institute
State the displacement, soil pressure and side slope image that relevant information includes test point；The GPS positioning subsystem is used to obtain in sensor
Subsystem positions test point when obtaining relevant information；The Monitor And Control Subsystem obtains subsystem with sensor and connect, and uses
In being handled the relevant information and show that treated relevant information and corresponding test point position.
The invention has the benefit that can use the image information that photographic device obtains the side slope of specific location, and will
The image information is provided to monitoring device, so that monitoring personnel can be by the monitoring device come more intuitively
Solve the virtual condition of side slope.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is structure connection diagram of the invention；
Fig. 2 is the structure connection diagram of image processing apparatus of the present invention.
Appended drawing reference:
Sensor obtains subsystem 1, GPS positioning subsystem 2, Monitor And Control Subsystem 3, image processing apparatus 4, image collection mould
Block 11, preprocessing 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 acquisition subsystem 1,
GPS positioning subsystem 2, Monitor And Control Subsystem 3, the sensor obtain subsystem 1 and are used to obtain ecoscape side by sensor
Relevant information at the test point on slope, the relevant information include displacement, soil pressure and the side slope image of test point；The GPS
Positioning subsystem 2 is used to obtain when subsystem 1 obtains relevant information in sensor and position to test point；The monitoring subsystem
System 3 obtains subsystem 1 with sensor and connect, for the relevant information is handled and is shown treated relevant information with
Corresponding test point position.
Preferably, it includes displacement sensor, soil pressure sensor and photographic device, institute that the sensor, which obtains subsystem 1,
Displacement sensors are arranged at the test point in side slope, for detecting and sending the displacement at the test point；The soil pressure
Force snesor is arranged at the test point in side slope, for detecting and sending the soil pressure at the test point；The camera shooting dress
Set it is opposite with the side slope, for obtaining and sending the image of the side slope.
Preferably, the Monitor And Control Subsystem 3 includes the image processing apparatus 4 for handling described image.
The above embodiment of the present invention can use the image information that photographic device obtains the side slope of specific location, and by the figure
As information is provided to monitoring device, so that monitoring personnel can more intuitively understand side by the monitoring device
The virtual condition on slope.
Preferably, described image processing unit 4 includes image collection module 11, preprocessing module 12,13 and of Fusion Module
Image scoring modules 14；Described image collection module 11 is used to acquire the source visible images and source infrared image about target；
12 pairs of the preprocessing module focus different source visible images and source infrared image and carry out image registration；The Fusion Module
13 for merging the image after being registrated；Described image scoring modules 14 are evaluated qualified for evaluating fused image, selection
Image is as final image.This preferred embodiment devises the module architectures of image processing apparatus 4, to realize side slope image
The function of processing.
Preferably, described image collection module 11 eliminates low-quality image in acquisition, establishes image quality evaluation
Function is in such a way that subjective assessment and objectively evaluating combines:
In formula, δ1、δ2、δ3For various factor of evaluation proportions, δ1<δ2<δ3And δ1+δ2+δ3=1, FiPass through for i-th
Subjective assessment and the score for giving image, ZiThe score of image is given and objectively evaluating for i-th, χ indicates the peak of image
It is worth signal-to-noise ratio, N is the number for carrying out subjective assessment, and M is the number objectively evaluated.This preferred embodiment introduces picture quality
Evaluation function can reject ropy image, improve post-processing efficiency.
Preferably, the preprocessing module 12 includes: (1) line segment feature submodule: using source infrared image as with reference to figure
Picture, source visible images are as image subject to registration, foundation of the line segment feature of detection source visible images as registration；(2) it throws
Shadow transformation submodule: transformation, the arrow that transformation parameter is constituted are implemented to the line segment feature in the visible images of source using projective transformation
Amount is(3) it measures submodule: metric function being constructed using the measurement criterion based on orientation consistency, measures source infrared image line
The similitude of Duan Tezheng and transformed source visible images line segment feature, if meeting preset requirement, return parametersIf
It is unsatisfactory for requiring, is then transferred to parameter updating module；(4) genetic computation submodule: genetic algorithm pair is usedIt is updated.
This preferred embodiment is registrated image before fusion, greatly improves fusion efficiencies, improves side slope figure
The treatment effect of picture.
Preferably, the Fusion Module 13 includes HSV transformation submodule, component acquisition submodule, fusion submodule, two generations
Curvelet inverse transform module and HSV inverse transform module；The HSV transformation submodule is used for pretreated source visible light figure
As carrying out HSV transformation and extracting chrominance component H, saturation degree component S and lightness component V；The component acquisition submodule is used for will
Pretreated source infrared image and lightness component V make the transformation of two generations Curvelet respectively, to obtain each comfortable position (x, y)
Low frequency component and high fdrequency component set the corresponding low frequency component of source infrared image herein as Ly(x, y), high fdrequency component My(x,y)；
The corresponding low frequency component of lightness component V is LV(x, y), high fdrequency component MV(x,y)；The fusion submodule includes low frequency component
Integrated unit and high fdrequency component integrated unit, low frequency components integrated unit are used for the low frequency component Ly(x,y)、LV(x,
Y) it is merged, high fdrequency component integrated unit is used for high fdrequency component My(x,y)、MV(x, y) is merged；Two generation
Curvelet inverse transform module is used for fused low frequency component LyV(x, y) and fused high fdrequency component MyV(x, y) is carried out
Two generation Curvelet inverse transformations, to obtain new lightness component VΩ；The HSV inverse transform module, for H, S, VΩThree points
Amount does HSV inverse transformation, finally obtains blending image Ω.
Preferably, the low frequency component integrated unit is to the low frequency component Ly(x,y)、LV(x, y) is generated after being merged
Low frequency component LyV(x, y) are as follows:
If a, Ly(x, y)=0 or LVWhen (x, y)=0:
LyV(x, y)=Ly(x,y)+LV(x,y)；
If b, Ly(x, y) ≠ 0 or LVWhen (x, y) ≠ 0:
The 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 indicate that the decomposed class of two generations Curvelet transformation, ψ are the transformation of two generations Curvelet
Maximum decomposition level；F=1 ... when ψ -1,For the pixel information quality mean value of the source visible images of calculating,For the pixel information quality mean value of source infrared image；When F=ψ,For source visible images medium-high frequency
The Direction Contrast of band and low frequency sub-band,For the Direction Contrast of source infrared image medium-high frequency subband and low frequency sub-band；Expression source visible light
Zone signal intensities of the image at highest resolution λ, on the direction α, in 3 × 3 windows；The infrared figure in expression source
As the zone signal intensities at highest resolution λ, on the direction α, in 3 × 3 windows；
If Pj(x, y)≤T, then fused high fdrequency component MyVThe selection formula of (x, y) are as follows:
If Pj(x, y) > T, then fused high fdrequency component MyVThe selection formula of (x, y) are as follows:
a、When:
b、When:
Wherein, T is the threshold value of setting.
This preferred embodiment combines low frequency component integrated unit and high fdrequency component integrated unit, to high fdrequency component and low frequency point
Amount is merged using different fusion formulas, more targetedly, can preferably describe the target signature information in image；
Weighted factor is introduced to calculate fused high fdrequency component, can preferably retain the useful information in source images；Introduce matching
The factor is estimated to calculate fused high fdrequency component, is sufficiently extracted the thermal target characteristic information and source visible light of source infrared image
Image background characteristics information abundant, blending image details is clear, edge-smoothing, has and more preferably merges performance and vision effect
Fruit.
Inventor has carried out a series of tests using the present embodiment, is the experimental data tested below:
| Side slope situation | Clarity | Recall rate | Error rate |
| The displacement of slope test point | — | — | 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: the first evaluation factor P is used1Syncretizing effect is assessed:
PX1=(R1-I0)(R1-V0)
Wherein, R1For the discrimination power of fused image, I0For the discrimination power for merging preceding source infrared image, V0To merge preceding source
The discrimination power of visible images；Work as PX1> 0, decision fusion effect is qualified；
(2) second evaluation units: the second evaluation factor P is used2Fusion speed is assessed:
PS2=(T1-I1)(T1-V1)
Wherein, T1For the identification time of fused image, I1For the identification time for merging preceding source infrared image, V1For fusion
The identification time of preceding source visible images；
If PS2< 0, then merge speed qualification.
This preferred embodiment can improve the practicability of side slope image procossing conscientiously.
It is opposite to the syncretizing effect of the image of ecoscape side slope to improve 28% in conjunction with above-described embodiment, merge speed
It is opposite to improve 9%.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (1)
1. a kind of ecoscape slope monitoring system, it is characterized in that: including that sensor obtains subsystem, GPS positioning subsystem, prison
Subsystem is controlled, the sensor, which obtains the correlation that subsystem is used to obtain by sensor at the test point of ecoscape side slope, to be believed
Breath, the relevant information includes displacement, soil pressure and the side slope image of test point；The GPS positioning subsystem is for sensing
Device is obtained when subsystem obtains relevant information and is positioned to test point；The Monitor And Control Subsystem and sensor obtain subsystem and connect
It connects, for being handled the relevant information and being shown treated relevant information and corresponding test point position；The biography
It includes displacement sensor, soil pressure sensor and photographic device that sensor, which obtains subsystem, and institute's displacement sensors are arranged in side slope
On test point at, for detecting and sending the displacement at the test point；The soil pressure sensor is arranged in side slope
At test point, for detecting and sending the soil pressure at the test point；The photographic device is opposite with the side slope, for obtaining
Take and send the image of the side slope；The Monitor And Control Subsystem includes the image processing apparatus for handling described image, described
Image processing apparatus includes image collection module, preprocessing module, Fusion Module and image scoring modules；Described image collects mould
Block is used to acquire the source visible images and source infrared image about target；The preprocessing module is visible to different sources is focused
Light image and source infrared image carry out image registration；The Fusion Module is used to merge the image after registration；Described image marking
Module is for evaluating fused image, and the image for selecting evaluation qualified is as final image；The Fusion Module includes HSV
Transformation submodule, component acquisition submodule, fusion submodule, two generation Curvelet inverse transform modules and HSV inverse transform module；Institute
HSV transformation submodule is stated for carrying out HSV transformation to pretreated source visible images and extracting chrominance component H, saturation degree
Component S and lightness component V；The component acquisition submodule is used to distinguish pretreated source infrared image and lightness component V
Make the transformation of two generations Curvelet, to obtain the low frequency component and high fdrequency component of each comfortable position (x, y), sets source infrared image herein
Corresponding low frequency component is Ly(x, y), high fdrequency component My(x,y)；The corresponding low frequency component of lightness component V is LV(x, y), it is high
Frequency component is MV(x,y)；The fusion submodule includes low frequency component integrated unit and high fdrequency component integrated unit, wherein low frequency
Component integrated unit is used for the low frequency component Ly(x,y)、LV(x, y) is merged, and high fdrequency component integrated unit is used for height
Frequency component My(x,y)、MV(x, y) is merged；The two generation Curvelet inverse transform module is used for fused low frequency component
LyV(x, y) and fused high fdrequency component MyV(x, y) carries out two generation Curvelet inverse transformations, to obtain new lightness component VΩ；
The HSV inverse transform module, for H, S, VΩThree components do HSV inverse transformation, finally obtain blending image Ω.
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| 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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| CN1545064A (en) * | 2003-11-27 | 2004-11-10 | 上海交通大学 | Infrared and visible light image merging 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 |
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