CN109961073A - The acquisition methods and device of a kind of transmission line of electricity and shaft tower information - Google Patents
The acquisition methods and device of a kind of transmission line of electricity and shaft tower information Download PDFInfo
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- CN109961073A CN109961073A CN201910247130.8A CN201910247130A CN109961073A CN 109961073 A CN109961073 A CN 109961073A CN 201910247130 A CN201910247130 A CN 201910247130A CN 109961073 A CN109961073 A CN 109961073A
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 72
- 230000005611 electricity Effects 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000000605 extraction Methods 0.000 claims abstract description 41
- 238000000701 chemical imaging Methods 0.000 claims abstract description 33
- 238000012545 processing Methods 0.000 claims abstract description 26
- 238000012800 visualization Methods 0.000 claims abstract description 26
- 239000011159 matrix material Substances 0.000 claims description 21
- 230000003595 spectral effect Effects 0.000 claims description 7
- 238000004040 coloring Methods 0.000 claims description 5
- 238000007781 pre-processing Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 abstract description 4
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 238000001228 spectrum Methods 0.000 description 5
- 238000010606 normalization Methods 0.000 description 3
- 230000000007 visual effect Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 206010057071 Rectal tenesmus Diseases 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 239000003973 paint Substances 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 238000012706 support-vector machine Methods 0.000 description 1
- 208000012271 tenesmus Diseases 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000005570 vertical transmission Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
Abstract
This application discloses a kind of transmission line of electricity and the acquisition methods and device of shaft tower information, scan transmission line of electricity and shaft tower using airborne hyperspectral, obtain airborne-remote sensing；Airborne-remote sensing is pre-processed, pretreated airborne-remote sensing is obtained；Pretreated airborne-remote sensing is calculated using weighted intensity algorithm, obtains the gray value of Hyperspectral imaging；According to pretreated airborne-remote sensing and the gray value of Hyperspectral imaging, the extraction model of transmission line of electricity and shaft tower is established；According to model is extracted, visualization processing is carried out to transmission line of electricity and shaft tower.The technical solution of the application can rapidly extracting airborne hyperspectral shoot to obtain transmission line of electricity and shaft tower position in figure, realize non-contact detection, for transmission of electricity corridor it is non-contact, on-line monitoring basis is provided, the rapidly extracting suitable for transmission line of electricity and shaft tower.
Description
Technical field
This application involves analysis and the acquisitions of survey control technology field more particularly to a kind of transmission line of electricity and shaft tower information
Method and device.
Background technique
With the rapid development of social economy, the continuous promotion of urban infrastructure scale, power engineering are sent out as city
A very important infrastructure in exhibition.Electric power is in the important energy source relied on required for social production, and people's life
One of essential energy, electric power are needed by electric power transmission line, transmission line of electricity carries to power consumer in transport
The vital task to transmit electric power, therefore, transmission line of electricity and shaft tower link of especially transmitting electricity in power engineering play to Guan Chong
The role wanted.Transmission of electricity corridor safety and stability is the important support condition of national economy steady development to power resource operation transmission,
It is all particularly significant for national enterprise and people's lives.At present the electric power transmission line in China in operation, by many factors
Influence, it may appear that some failures, such as transmission line of electricity tenesmus, route windage yaw, shaft tower deformation etc., once transmission line of electricity or shaft tower
It breaks down, influences whether the normal operation of electric system, relevant departments and enterprise increasingly pay attention to electric power transmission line
Monitoring.
Some routes carry the task of long-distance sand transport, are often erected in remote depopulated zone or forest, therefore patrol
Procuratorial organ's formula uses manual inspection, and manual inspection, there is many inconvenience, the National Personnel Records Center, Civilian Person of topography complexity cannot reach, forest
Dense place can cover the sight of patrol officer.Therefore, how about quickly detection obtains transmission line of electricity and shaft tower information as this
Field technical staff's urgent problem to be solved.
Summary of the invention
This application provides a kind of transmission line of electricity and the acquisition methods and device of shaft tower information, can quickly detect to obtain defeated
Electric line and shaft tower information.
On the one hand, the embodiment of the present application provides the acquisition methods of a kind of transmission line of electricity and shaft tower information, comprising:
Transmission line of electricity and shaft tower are scanned using airborne hyperspectral, obtains airborne-remote sensing；
The airborne-remote sensing is pre-processed, pretreated airborne-remote sensing is obtained；
The pretreated airborne-remote sensing is calculated using weighted intensity algorithm, obtains Hyperspectral imaging
Gray value；
According to the pretreated airborne-remote sensing and the gray value of the Hyperspectral imaging, power transmission line is established
The extraction model of road and shaft tower；
According to the extraction model, visualization processing is carried out to the transmission line of electricity and shaft tower.
With reference to first aspect, the resolution ratio for the Hyperspectral imaging that the airborne hyperspectral scans is Centimeter Level, and, institute
Stating Hyperspectral imaging is spliced by several sub-images.
With reference to first aspect, described that airborne-remote sensing is pre-processed, obtain pretreated Hyperspectral imaging
The step of data includes:
The disposal of gentle filter is carried out to the airborne-remote sensing, removes spectral line noise；
Airborne-remote sensing after the disposal of gentle filter is normalized, pretreated bloom is obtained
Compose image data.
With reference to first aspect, the acquisition methods further include:
The extraction model is predicted using the data matrix of exemplar, calculates the classification essence for extracting model
Degree；
Judge whether the nicety of grading is accurate；
If the nicety of grading is accurate, according to the extraction model, the transmission line of electricity and shaft tower are carried out visual
Change processing；
If the nicety of grading inaccuracy, again predicts the extraction model, until the nicety of grading
Until accurate.
With reference to first aspect, described according to the extraction model, visualization processing is carried out to the transmission line of electricity and shaft tower
The step of include:
The classification of each pixel of Hyperspectral imaging is obtained according to the extraction model；
According to the classification, note matrix is established；
To the label colouring in the label matrix, visualization processing is carried out.
Second aspect, the embodiment of the present application provide the acquisition device of a kind of transmission line of electricity and shaft tower information, comprising:
Image capturing unit, for obtaining airborne-remote sensing using airborne hyperspectral scanning transmission line of electricity and shaft tower；
Pretreatment unit obtains pretreated EO-1 hyperion shadow for pre-processing to the airborne-remote sensing
As data；
Computing unit, for being calculated using weighted intensity algorithm the pretreated airborne-remote sensing,
Obtain the gray value of Hyperspectral imaging；
Model foundation unit, for according to the pretreated airborne-remote sensing and the Hyperspectral imaging
Gray value establishes the extraction model of transmission line of electricity and shaft tower；
Visualization processing unit, for being carried out at visualization to the transmission line of electricity and shaft tower according to the extraction model
Reason.
In conjunction with second aspect, the pretreatment unit is also used to: being carried out at smothing filtering to the airborne-remote sensing
Reason removes spectral line noise；Airborne-remote sensing after the disposal of gentle filter is normalized, is pre-processed
Airborne-remote sensing afterwards.
In conjunction with second aspect, the acquisition device further include:
Accuracy computation unit predicts the extraction model for the data matrix using exemplar, calculates institute
State the nicety of grading for extracting model；
Judging unit, for judging whether the nicety of grading is accurate；If the nicety of grading is accurate, according to
Model is extracted, visualization processing is carried out to the transmission line of electricity and shaft tower；If the nicety of grading inaccuracy, again to institute
It states extraction model to be predicted, until the nicety of grading is accurate.
In conjunction with second aspect, the visualization processing unit is also used to: obtaining Hyperspectral imaging according to the extraction model
The classification of each pixel；According to the classification, note matrix is established；To the label colouring in the label matrix, progress can
It is handled depending on change.
From the above technical scheme, this application provides a kind of transmission line of electricity and the acquisition methods and dress of shaft tower information
It sets, scans transmission line of electricity and shaft tower using airborne hyperspectral, obtain airborne-remote sensing；Airborne-remote sensing is carried out pre-
Processing, obtains pretreated airborne-remote sensing；Using weighted intensity algorithm to pretreated airborne-remote sensing
It is calculated, obtains the gray value of Hyperspectral imaging；According to pretreated airborne-remote sensing and Hyperspectral imaging
Gray value establishes the extraction model of transmission line of electricity and shaft tower；According to model is extracted, transmission line of electricity and shaft tower are carried out at visualization
Reason.The technical solution of the application can rapidly extracting airborne hyperspectral shoot to obtain transmission line of electricity and shaft tower position in figure,
Non-contact detection is realized, basis is provided for non-contact, the on-line monitoring in transmission of electricity corridor, suitable for transmission line of electricity and shaft tower
Rapidly extracting.
Detailed description of the invention
In order to illustrate more clearly of the technical solution of the application, attached drawing needed in case study on implementation will be made below
Simply introduce, it should be apparent that, for those of ordinary skills, in the premise of not making the creative labor property
Under, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow chart of the acquisition methods of a kind of transmission line of electricity provided by the embodiments of the present application and shaft tower information；
Fig. 2 is the structural block diagram of the acquisition device of a kind of transmission line of electricity provided by the embodiments of the present application and shaft tower information.
Specific embodiment
In order to make those skilled in the art better understand the technical solutions in the application, below in conjunction with attached drawing, it is right
Technical solution in the embodiment of the present application is clearly and completely described.
Referring to Fig. 1, the embodiment of the present application provides the acquisition methods of a kind of transmission line of electricity and shaft tower information, comprising:
Step 101, transmission line of electricity and shaft tower are scanned using airborne hyperspectral, obtains airborne-remote sensing.
Step 102, the airborne-remote sensing is pre-processed, obtains pretreated airborne-remote sensing.
Optionally, described that airborne-remote sensing is pre-processed, obtain pretreated airborne-remote sensing
Step includes:
Step 201, the disposal of gentle filter is carried out to the airborne-remote sensing, removes spectral line noise.
Step 202, the airborne-remote sensing after the disposal of gentle filter is normalized, is pre-processed
Airborne-remote sensing afterwards.Specific normalization range is 0-255, and the wave spectrum value G after normalizing is as follows:
Wherein, f is Hyperspectral imaging primary reflection rate, value range 0-1.
Step 103, the pretreated airborne-remote sensing is calculated using weighted intensity algorithm, obtains height
The gray value of spectrum image；Airborne-remote sensing matrix after importing normalization calculates the related coefficient between column vector, root
Assign each column vector different weights according to the size of related coefficient；a1+a2+…+an=1, wherein anIndicate n-component column vector institute
The weight accounted for；Hyperspectral imaging gray value F=a1×G1+a2×G2+…an×Gn, wherein GnN-th of column after indicating normalization
Vector.
Step 104, it according to the pretreated airborne-remote sensing and the gray value of the Hyperspectral imaging, builds
The extraction model of vertical transmission line of electricity and shaft tower.
Step 105, according to the extraction model, visualization processing is carried out to the transmission line of electricity and shaft tower.
Optionally, described according to the extraction model, the step of visualization processing is carried out to the transmission line of electricity and shaft tower
Include:
Step 401, the classification of each pixel of Hyperspectral imaging is obtained according to the extraction model.
Step 402, according to the classification, note matrix is established.
Step 403, it paints to the label in the label matrix, carries out visualization processing, obtain visual image, according to
Visual image obtains the information of transmission line of electricity and shaft tower.
Optionally, the resolution ratio for the Hyperspectral imaging that the airborne hyperspectral scans is Centimeter Level, and, the bloom
Composing image is spliced by several sub-images.In addition, airborne hyperspectral is placed in transmission line of electricity and the shooting of shaft tower normal position.
Optionally, the acquisition methods further include:
Step 301, the extraction model is predicted using the data matrix of exemplar, calculates the extraction model
Nicety of grading.
Step 302, judge whether the nicety of grading is accurate.
Step 303, if the nicety of grading is accurate, according to the extraction model, to the transmission line of electricity and shaft tower
Carry out visualization processing.
Step 304, if the nicety of grading is inaccurate, the extraction model is predicted again, until described
Until nicety of grading is accurate.
The application is further described with following examples:
UAV flight's high light spectrum image-forming equipment is located at 10m above transmission line of electricity and shoots, obtain size be 698 ×
676 × 256 high spectrum image, image resolution ratio 1cm, spectral resolution 3nm are original using S-G the disposal of gentle filter
698 × 676 data are normalized in data, and high spectrum image original scope is 0-1, become after normalized
0-255 calculates the related coefficient between 256 wave bands, 256 × 256 correlation matrix is obtained, according to the exhausted of related coefficient
It successively gives from 0-1 corresponding wave band to calculate weight to value, calculates the gray value of each pixel of image, gray value size is from 0-
255, by 80% in 698 × 676 sample spots of image as training sample spot, the classification note of corresponding pixel points is as defeated
Out, class label is divided into route and other, establishes two disaggregated models based on support vector machines, verifies remaining 20% sample
Point, accuracy rate 87.2% have obtained the tag along sort matrix of whole image, and size is 698 × 676 × 1, and wherein label 0 represents
Route, label 1 represent other, give color according to different labels, and route gives black, other given whites are visualized
Image.
Referring to fig. 2, the embodiment of the present application also provides the acquisition device of a kind of transmission line of electricity and shaft tower information, comprising:
Image capturing unit 21, for obtaining Hyperspectral imaging number using airborne hyperspectral scanning transmission line of electricity and shaft tower
According to；
Pretreatment unit 22 obtains pretreated EO-1 hyperion for pre-processing to the airborne-remote sensing
Image data；
Computing unit 23, based on being carried out using weighted intensity algorithm to the pretreated airborne-remote sensing
It calculates, obtains the gray value of Hyperspectral imaging；
Model foundation unit 24, for according to the pretreated airborne-remote sensing and the Hyperspectral imaging
Gray value, establish the extraction model of transmission line of electricity and shaft tower；
Visualization processing unit 25, for being visualized to the transmission line of electricity and shaft tower according to the extraction model
Processing.
Optionally, the pretreatment unit 22 is also used to: being carried out the disposal of gentle filter to the airborne-remote sensing, is gone
Except spectral line noise；Airborne-remote sensing after the disposal of gentle filter is normalized, is obtained pretreated
Airborne-remote sensing.
Optionally, the acquisition device further include:
Accuracy computation unit predicts the extraction model for the data matrix using exemplar, calculates institute
State the nicety of grading for extracting model；
Judging unit, for judging whether the nicety of grading is accurate；If the nicety of grading is accurate, according to
Model is extracted, visualization processing is carried out to the transmission line of electricity and shaft tower；If the nicety of grading inaccuracy, again to institute
It states extraction model to be predicted, until the nicety of grading is accurate.
Optionally, the visualization processing unit 25 is also used to: it is each to obtain Hyperspectral imaging according to the extraction model
The classification of pixel；According to the classification, note matrix is established；To the label colouring in the label matrix, visualized
Processing.
From the above technical scheme, this application provides a kind of transmission line of electricity and the acquisition methods and dress of shaft tower information
It sets, scans transmission line of electricity and shaft tower using airborne hyperspectral, obtain airborne-remote sensing；Airborne-remote sensing is carried out pre-
Processing, obtains pretreated airborne-remote sensing；Using weighted intensity algorithm to pretreated airborne-remote sensing
It is calculated, obtains the gray value of Hyperspectral imaging；According to pretreated airborne-remote sensing and Hyperspectral imaging
Gray value establishes the extraction model of transmission line of electricity and shaft tower；According to model is extracted, transmission line of electricity and shaft tower are carried out at visualization
Reason.The technical solution of the application can rapidly extracting airborne hyperspectral shoot to obtain transmission line of electricity and shaft tower position in figure,
Non-contact detection is realized, basis is provided for non-contact, the on-line monitoring in transmission of electricity corridor, suitable for transmission line of electricity and shaft tower
Rapidly extracting.
The application can be used in numerous general or special purpose computing system environments or configuration.Such as: personal computer, service
Device computer, handheld device or portable device, laptop device, multicomputer system, microprocessor-based system, top set
Box, programmable consumer-elcetronics devices, network PC, minicomputer, mainframe computer, including any of the above system or equipment
Distributed computing environment etc..
The application can describe in the general context of computer-executable instructions executed by a computer, such as program
Module.Generally, program module includes routines performing specific tasks or implementing specific abstract data types, programs, objects, group
Part, data structure etc..The application can also be practiced in a distributed computing environment, in these distributed computing environments, by
Task is executed by the connected remote processing devices of communication network.In a distributed computing environment, program module can be with
In the local and remote computer storage media including storage equipment.
Those skilled in the art will readily occur to its of the application after considering specification and practicing application disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the application, these modifications, purposes or
Person's adaptive change follows the general principle of the application and including the undocumented common knowledge in the art of the application
Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the application are by following
Claim is pointed out.
It should be understood that the application is not limited to the precise structure that has been described above and shown in the drawings, and
And various modifications and changes may be made without departing from the scope thereof.Scope of the present application is only limited by the accompanying claims.
Claims (9)
1. the acquisition methods of a kind of transmission line of electricity and shaft tower information characterized by comprising
Transmission line of electricity and shaft tower are scanned using airborne hyperspectral, obtains airborne-remote sensing；
The airborne-remote sensing is pre-processed, pretreated airborne-remote sensing is obtained；
The pretreated airborne-remote sensing is calculated using weighted intensity algorithm, obtains the ash of Hyperspectral imaging
Angle value；
According to the pretreated airborne-remote sensing and the gray value of the Hyperspectral imaging, establish transmission line of electricity and
The extraction model of shaft tower；
According to the extraction model, visualization processing is carried out to the transmission line of electricity and shaft tower.
2. acquisition methods according to claim 1, which is characterized in that the Hyperspectral imaging that the airborne hyperspectral scans
Resolution ratio be Centimeter Level, and, the Hyperspectral imaging is spliced by several sub-images.
3. acquisition methods according to claim 1, which is characterized in that it is described that airborne-remote sensing is pre-processed,
The step of obtaining pretreated airborne-remote sensing include:
The disposal of gentle filter is carried out to the airborne-remote sensing, removes spectral line noise；
Airborne-remote sensing after the disposal of gentle filter is normalized, pretreated EO-1 hyperion shadow is obtained
As data.
4. acquisition methods according to claim 1, which is characterized in that the extracting method further include:
The extraction model is predicted using the data matrix of exemplar, calculates the nicety of grading for extracting model；
Judge whether the nicety of grading is accurate；
If the nicety of grading is accurate, according to the extraction model, the transmission line of electricity and shaft tower are carried out at visualization
Reason；
If the nicety of grading inaccuracy, again predicts the extraction model, until the nicety of grading is accurate
Until.
5. acquisition methods according to claim 1-4, which is characterized in that it is described according to the extraction model, it is right
The transmission line of electricity and shaft tower carry out the step of visualization processing and include:
The classification of each pixel of Hyperspectral imaging is obtained according to the extraction model；
According to the classification, note matrix is established；
To the label colouring in the label matrix, visualization processing is carried out.
6. the acquisition device of a kind of transmission line of electricity and shaft tower information characterized by comprising
Image capturing unit, for obtaining airborne-remote sensing using airborne hyperspectral scanning transmission line of electricity and shaft tower；
Pretreatment unit obtains pretreated Hyperspectral imaging number for pre-processing to the airborne-remote sensing
According to；
Computing unit is obtained for being calculated using weighted intensity algorithm the pretreated airborne-remote sensing
The gray value of Hyperspectral imaging；
Model foundation unit, for the gray scale according to the pretreated airborne-remote sensing and the Hyperspectral imaging
Value, establishes the extraction model of transmission line of electricity and shaft tower；
Visualization processing unit, for carrying out visualization processing to the transmission line of electricity and shaft tower according to the extraction model.
7. acquisition device according to claim 6, which is characterized in that the pretreatment unit is also used to: to the bloom
It composes image data and carries out the disposal of gentle filter, remove spectral line noise；To the airborne-remote sensing after the disposal of gentle filter
It is normalized, obtains pretreated airborne-remote sensing.
8. acquisition device according to claim 6, which is characterized in that the extraction element further include:
Accuracy computation unit is predicted the extraction model for the data matrix using exemplar, is mentioned described in calculating
The nicety of grading of modulus type；
Judging unit, for judging whether the nicety of grading is accurate；If the nicety of grading is accurate, according to the extraction
Model carries out visualization processing to the transmission line of electricity and shaft tower；If the nicety of grading inaccuracy, mentions to described again
Modulus type is predicted, until the nicety of grading is accurate.
9. according to the described in any item acquisition device of claim 6-8, which is characterized in that the visualization processing unit is also used
In: the classification of each pixel of Hyperspectral imaging is obtained according to the extraction model；According to the classification, note matrix is established；
To the label colouring in the label matrix, visualization processing is carried out.
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| CN110427914A (en) * | 2019-08-14 | 2019-11-08 | 西南交通大学 | A kind of transmission of electricity corridor vegetation threat early warning method based on satellite remote sensing |
| CN110427914B (en) * | 2019-08-14 | 2021-09-28 | 西南交通大学 | Power transmission corridor vegetation threat early warning method based on satellite remote sensing |
| CN110502571A (en) * | 2019-08-29 | 2019-11-26 | 智洋创新科技股份有限公司 | A kind of recognition methods of the high-incidence line segment of electric transmission line channel visual alerts |
| CN110502571B (en) * | 2019-08-29 | 2020-05-08 | 智洋创新科技股份有限公司 | Method for identifying visible alarm high-power-generation line segment of power transmission line channel |
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