CN106650750A - UAV remote sensing image processing system for transmission line geological hazard detection - Google Patents
UAV remote sensing image processing system for transmission line geological hazard detection Download PDFInfo
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Abstract
The invention discloses a UAV remote sensing image processing system for transmission line geological hazard detection. The system firstly subjects an obtained UAV remote sensing image to gray stretching and normalization, extracts feature points, performs classification according to the feature points or information such as the time and the site acquiring the UAV remote sensing image. A user can set a query condition as required in order to query the specific UAV remote sensing image and to retrieve the specific UAV remote sensing image, shortens the time for searching out the image for workers, and improves the work efficiency. The gray stretching and normalization of the UAV remote sensing image improves the accuracy of the UAV remote sensing image and the geological hazard detection accuracy.
Description
Technical field
The present invention relates to the technical field of image procossing, more particularly to a kind of nothing for transmission line of electricity geological disaster detection
Man-machine Remote Sensing Image Processing System.
Background technology
Under the situation of rapid economic development, the distribution of ultra-high-tension power transmission line is more and more wider, and with mankind's work in recent years
The dynamic destruction to natural environment constantly aggravates, and crustal motion is frequent, and increasing transmission line of electricity receives geological disaster
The threat of (such as landslide, mud-rock flow and landslide).The generation of geological disaster causes serious consequence to power grid security, gently then sends out
Raw tower bar is inclined, the heavy then generation accident of falling tower, therefore, it is necessary to the geological disaster to new road of transmitting electricity is detected.
And prior art is that the detection of the geological disaster to transmission line of electricity is realized by the way of manual patrol, each tour
At least several days or one month cycle, wasting manpower and material resources, and detection efficiency is low, it is impossible to meet the actual need of modern power network development
Will.And under the mode of manual patrol, monitoring result is affected larger by the subjective judgment of tour personnel, monitoring result accuracy
Difference.
Unmanned plane technology is the remote sensing images obtaining means for developing rapidly in recent years, its imaging resolution height,
It is easy to the advantages of shooting belt-like zone, the monitoring to transmission line of electricity geological disaster provides brand-new powerful measure.But current nothing
Man-machine remote sensing images in use general data amount it is huge and with the time into being incremented by, and in order to preferably carry out geological disaster
Detection generally requires to introduce substantial amounts of image information, these data waste plenty of time of artificial treatment, reduces work efficiency.Simultaneously
Unmanned aerial vehicle remote sensing image is affected by factors such as illumination, reduces the accuracy of geological disaster testing result.
The content of the invention
The goal of the invention of the present invention is to provide a kind of unmanned aerial vehicle remote sensing image for transmission line of electricity geological disaster detection
Processing system, in solving to geological disaster detection process, due to unmanned plane oxygen, that amount of images is huge, and artificial treatment needs to waste
Plenty of time, work efficiency is reduced, and unmanned aerial vehicle remote sensing image is affected by factors such as illumination, reduces geological disaster testing result
Accuracy.
According to embodiments of the present invention, there is provided at a kind of unmanned aerial vehicle remote sensing image for transmission line of electricity geological disaster detection
Reason system includes：
Image pre-processing module, for according to the unmanned aerial vehicle remote sensing image, extracting the face of the unmanned aerial vehicle remote sensing image
Color characteristic and edge feature；
Image classification module, for obtaining the corresponding information of the unmanned aerial vehicle remote sensing image, the color characteristic and/or side
The unmanned remote sensing images are classified by edge feature；Described information includes the shooting time of the unmanned remote sensing images, shoots
Place and device attribute；
Image data base, for storing the unmanned aerial vehicle remote sensing image, corresponding information, color characteristic and edge feature；
User right module, for according to access request, obtaining the corresponding access data of the access request.
Further, the user right module also includes,
Determining unit, for according to access request is obtained, determining the corresponding access rights of the access request；
Data cell is obtained, for according to the access rights, obtaining the corresponding described image data of the access rights
The data in storehouse.
Further, it is described acquisition data cell include,
User role determination subelement, for the data of the access request and user role table to be compared, according to comparing
As a result the grade of the access request is determined；
User right determination subelement, for the data of the grade of the access request and authority list to be compared, according to than
Relatively result determines the corresponding access rights of the access request.
Further, described image pretreatment module includes,
Colouring information extraction unit, for according to the unmanned aerial vehicle remote sensing image, extracting rgb pixel colouring information；
Pixel Information processing unit, for carrying out gray scale stretching and normalized to the rgb pixel colouring information, obtains
Image information to after process；
Feature unit is extracted, according to described image information, color histogram and gradient orientation histogram is generated；According to described
Color histogram and the gradient orientation histogram, extract color characteristic and edge feature.
Further, described image data base, is additionally operable to store the color histogram and the gradient orientation histogram.
Further, the system also includes,
Retrieval module, for obtaining image to be retrieved, extracts the color characteristic and edge feature of image to be retrieved；Will be described
The color characteristic and edge feature of image to be retrieved compared with color characteristic and edge feature in described image data base, root
According to comparative result, the unmanned aerial vehicle remote sensing image matched with image to be retrieved in described image data base is determined.
Further, the system also includes,
Enquiry module, for according to inquiry request, determining the data of the corresponding described image data base of the inquiry request.
Further, the system also includes,
Data outputting module, for the access rights to be compared with default access rights, according to comparative result, sentences
It is fixed whether by specified data output.
Further, the system also includes,
Data input module, for the access rights to be compared with default access rights, according to comparative result, sentences
It is fixed whether by specified data input.
Further, the system also includes,
Data maintenance unit, for the access rights to be compared with default access rights, according to comparative result, sentences
It is fixed whether by specified data change or deletion.
From above technical scheme, the present invention provides a kind of unmanned aerial vehicle remote sensing for transmission line of electricity geological disaster detection
The unmanned aerial vehicle remote sensing image of acquisition is first carried out gray scale stretching and normalized by image processing system, the system, extracts feature
Point, and classified according to information such as characteristic point or the time, the places that obtain unmanned aerial vehicle remote sensing image, user can be according to need
Will, setting querying condition is inquired about specific unmanned aerial vehicle remote sensing image, and specific unmanned aerial vehicle remote sensing image is examined
Rope, reduces the time that staff searches image, improves work efficiency；And unmanned aerial vehicle remote sensing image is carried out gray scale stretching and
After normalized, the precision of unmanned aerial vehicle remote sensing image is improved, improve the accuracy to geological disaster detection.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment
The accompanying drawing that needs are used is briefly described, it should be apparent that, drawings in the following description are only some enforcements of the present invention
Example, for those of ordinary skill in the art, on the premise of not paying creative work, can be being obtained according to these accompanying drawings
Obtain other accompanying drawings.
A kind of unmanned aerial vehicle remote sensing image processing system for transmission line of electricity geological disaster detection that Fig. 1 is provided for the present invention
Structural representation；
Fig. 2 is the structural representation of the user right module of Fig. 1；
Fig. 3 is the structural representation of the acquisition data cell of Fig. 1；
Fig. 4 is the structural representation of the image pre-processing module of Fig. 1.
Specific embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Whole description, it is clear that described embodiment is only a part of embodiment of the invention, rather than the embodiment of whole.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
As shown in figure 1, embodiments in accordance with the present invention, there is provided it is a kind of for transmission line of electricity geological disaster detection nobody
Machine Remote Sensing Image Processing System includes：
Image pre-processing module 11, for according to the unmanned aerial vehicle remote sensing image, extracting the unmanned aerial vehicle remote sensing image
Color characteristic and edge feature；
Color characteristic and edge feature are the characteristic color of tool of geological disaster and the edge of profile.
Image classification module 12, for obtain the corresponding information of the unmanned aerial vehicle remote sensing image, the color characteristic and/or
The unmanned remote sensing images are classified by edge feature；Described information includes the shooting time of the unmanned remote sensing images, claps
Take the photograph place and device attribute；
Image classification module is also dependent on user to the color characteristic of unmanned aerial vehicle remote sensing image and/or the definition of edge feature
Label carries out matching classification.
Image data base 13, it is special for storing the unmanned aerial vehicle remote sensing image, corresponding information, color characteristic and edge
Levy；
User right module 14, for according to access request, obtaining the corresponding access data of the access request.
User can be divided into different brackets, and different grades of user possesses the authority of different operating databases, according to user
Access request, obtains the corresponding access data of access request.
From above technical scheme, it is distant that the present embodiment provides a kind of unmanned plane for transmission line of electricity geological disaster detection
The unmanned aerial vehicle remote sensing image of acquisition is first carried out gray scale stretching and normalized by sense image processing system, the system, extracts special
Levy a little, and classified according to information such as characteristic point or the time, the places that obtain unmanned aerial vehicle remote sensing image, user can be according to need
Will, setting querying condition is inquired about specific unmanned aerial vehicle remote sensing image, and specific unmanned aerial vehicle remote sensing image is examined
Rope, reduces the time that staff searches image, improves work efficiency；And unmanned aerial vehicle remote sensing image is carried out gray scale stretching and
After normalized, the precision of unmanned aerial vehicle remote sensing image is improved, improve the accuracy to geological disaster detection.
As shown in Fig. 2 further, the user right module 14 also includes,
Determining unit 21, for according to access request is obtained, determining the corresponding access rights of the access request；
The access request of user can be divided into different grades, such as domestic consumer, maintenance management personnel and super keepe,
The different access rights of each different access level correspondence, such as domestic consumer can only carry out the retrieval and inquiry of data, tie up
Shield management personnel and super keepe can be deleted, changed, imported and derived to the data storage of data base.
Data cell 22 is obtained, for according to the access rights, obtaining the corresponding described image number of the access rights
According to the data in storehouse.
As shown in figure 3, further, the acquisition data cell 22 includes,
User role determination subelement 31, for the data of the access request and user role table to be compared, according to than
Relatively result determines the grade of the access request；
User role table is user name and the corresponding tables of data of user role, according to access request such as user name or password
Deng, the corresponding role of the access request is searched on user role table, to determine the rank of access request, such as domestic consumer, dimension
Shield management personnel and super keepe etc..
User right determination subelement 32, for the data of the grade of the access request and authority list to be compared, according to
Comparative result determines the corresponding access rights of the access request.
According to the grade of access request, search in authority list to should grade authority, such as domestic consumer can only enter
The retrieval and inquiry of row data, maintenance management personnel and super keepe can be deleted, be changed to the data storage of data base,
Import and derive.
As shown in figure 4, further, described image pretreatment module 11 includes,
Colouring information extraction unit 41, for according to the unmanned aerial vehicle remote sensing image, extracting rgb pixel colouring information；
RGB represents respectively 3 kinds of colors：R represents redness, and G represents green, B and represents blueness.Each pixel in image
The intensity level that RGB component distributes in the range of one 0～255.
Pixel Information processing unit 42, for carrying out gray scale stretching and normalized to the rgb pixel colouring information,
Image information after being processed；
Because the distribution of unmanned aerial vehicle remote sensing gradation of image concentrates on narrower interval, cause image detail not clear enough, adopt
After gray scale stretching process, pull open can the gray scale spacing of image or make intensity profile uniform, so as to increase contrast, make image detail
Clearly, enhanced purpose is reached, for each rgb pixel colouring information gray scale stretching is carried out so that the gray scale spacing of image adds
Greatly, originally fuzzy image can be caused to be apparent from, improves the precision of image.Image normalization removes the light of unmanned remote sensing images
According to the impact with shade, the precision of image is improved again.
Feature unit 43 is extracted, according to described image information, color histogram and gradient orientation histogram is generated；According to institute
Color histogram and the gradient orientation histogram are stated, color characteristic and edge feature is extracted.
Color histogram is converted to HSV pixel color information by rgb pixel colouring information, and H represents tone in HSV, uses angle
Degree tolerance, span is 0 °～360 °, is calculated counterclockwise from red beginning, and redness is 0 °, and green is 120 °, blue
For 240 °.Their complementary color is：Yellow is 60 °, and cyan is 180 °, and magenta is 300 °.Saturation S represents the close spectral color of color
Degree.A kind of color, can regard the result that certain spectral color mixes with white as.Ratio wherein shared by spectral color heals
Greatly, the degree of the close spectral color of color is just higher, and the saturation of color is also just high.Saturation is high, and color is then deep and gorgeous.Spectrum
The white light composition of color is 0, and saturation reaches highest.Generally span is 0%～100%, and value is bigger, and color gets over saturation.It is bright
Degree V represents bright degree, and for light source colour, brightness value is relevant with the brightness of luminous body；For object color, this value and
The transmittance or reflectivity of object is relevant.Generally span is 0% (black) to 100% (white).
Because lightness V is differed greatly by illumination effect, therefore lightness V need not be analyzed in detection process,
Therefore brightness value is not needed, color histogram is generated according to HSV pixel colors information.
According to normalized image, image gradient is calculated using first differential, being then based on the direction of gradient magnitude is carried out
Weight is projected, and then characteristic vector is normalized, and then generates gradient orientation histogram.
Color characteristic and edge feature are the characteristic color of tool of geological disaster and the edge of profile.
Further, described image data base 13, is additionally operable to store the color histogram and the gradient orientation histogram.
Further, the system also includes,
Retrieval module 15, for obtaining image to be retrieved, extracts the color characteristic and edge feature of image to be retrieved；By institute
The color characteristic and edge feature of image to be retrieved are stated compared with color characteristic and edge feature in described image data base,
According to comparative result, the unmanned aerial vehicle remote sensing image matched with image to be retrieved in described image data base is determined.
Retrieval module carries out color characteristic according to the unmanned remote sensing images to be retrieved of user input to unmanned remote sensing images
And Edge Gradient Feature, and be compared with the color characteristic and edge feature of view data library storage, by with nothing to be retrieved
The image that people's remote sensing images match, facilitates lookup of the user to data, improves work efficiency.
Further, the system also includes,
Enquiry module 16, for according to inquiry request, determining the number of the corresponding described image data base of the inquiry request
According to.
Inquiry can make a look up corresponding data according to shooting date, spot for photography, device attribute and feature tag.
Further, the system also includes,
Data outputting module 18, for the access rights to be compared with default access rights, according to comparative result,
Determine whether specified data output.
Access rights can be divided into normal user permission, maintenance management personnel authority and super keepe authority etc., common to use
Family authority cannot be operated to data outputting module, and maintenance management personnel and super management personnel then may be used by access rights
With to data are derived.The operation of personnel is accessed by setting access privilege control, prevents someone's malice from deriving data, make number
Occur according to situation about revealing, increase the confidentiality of image data base.
Further, the system also includes,
Data input module 19, for the access rights to be compared with default access rights, according to comparative result,
Determine whether specified data input.
Access rights can be divided into normal user permission, maintenance management personnel authority and super keepe authority etc., common to use
Family authority cannot be operated to data input module, and maintenance management personnel and super management personnel then may be used by access rights
With to importing data to.The operation of personnel is accessed by setting access privilege control, the situation for making leaking data occurs, increase figure
As the confidentiality of data base.
Data maintenance module 17, for the access rights to be compared with default access rights, according to comparative result,
Determine whether specified data change or deletion.
Access rights can be divided into normal user permission, maintenance management personnel authority and super keepe authority etc., common to use
Family authority cannot be operated to data input module, and maintenance management personnel and super management personnel then may be used by access rights
So that to data are safeguarded, maintenance includes the change or deletion of data and unmanned aerial vehicle remote sensing image.By setting access rights
The operation of control access personnel, the situation for making leaking data or malicious sabotage data base occurs, and increases the secrecy of image data base
Property and stability.
From above technical scheme, the present invention provides a kind of unmanned aerial vehicle remote sensing for transmission line of electricity geological disaster detection
The unmanned aerial vehicle remote sensing image of acquisition is first carried out gray scale stretching and normalized by image processing system, the system, extracts feature
Point, and classified according to information such as characteristic point or the time, the places that obtain unmanned aerial vehicle remote sensing image, user can be according to need
Will, setting querying condition is inquired about specific unmanned aerial vehicle remote sensing image, and specific unmanned aerial vehicle remote sensing image is examined
Rope, reduces the time that staff searches image, improves work efficiency；And unmanned aerial vehicle remote sensing image is carried out gray scale stretching and
After normalized, the precision of unmanned aerial vehicle remote sensing image is improved, improve the accuracy to geological disaster detection.
Those skilled in the art will readily occur to its of the present invention after considering description and putting into practice invention disclosed herein
Its embodiment.The application is intended to any modification of the present invention, purposes or adaptations, these modifications, purposes or
Person's adaptations follow the general principle of the present invention and including the undocumented common knowledge in the art of the present invention
Or conventional techniques.Description and embodiments are considered only as exemplary, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be appreciated that the precision architecture for being described above and being shown in the drawings is the invention is not limited in, and
And can without departing from the scope carry out various modifications and changes.The scope of the present invention is only limited by appended claim.
Claims (10)
1. it is a kind of for transmission line of electricity geological disaster detection unmanned aerial vehicle remote sensing image processing system, it is characterised in that include：
Image pre-processing module, for according to the unmanned aerial vehicle remote sensing image, the color for extracting the unmanned aerial vehicle remote sensing image to be special
Seek peace edge feature；
Image classification module, it is special for obtaining the corresponding information of the unmanned aerial vehicle remote sensing image, the color characteristic and/or edge
Levy, the unmanned remote sensing images are classified；Described information includes shooting time, the spot for photography of the unmanned remote sensing images
And device attribute；
Image data base, for storing the unmanned aerial vehicle remote sensing image, corresponding information, color characteristic and edge feature；
User right module, for according to access request, obtaining the corresponding access data of the access request.
2. system according to claim 1, it is characterised in that the user right module also includes,
Determining unit, for according to access request is obtained, determining the corresponding access rights of the access request；
Data cell is obtained, for according to the access rights, obtaining the corresponding described image data base's of the access rights
Data.
3. system according to claim 2, it is characterised in that the acquisition data cell includes,
User role determination subelement, for the data of the access request and user role table to be compared, according to comparative result
Determine the grade of the access request；
User right determination subelement, for the data of the grade of the access request and authority list to be compared, according to comparing knot
Fruit determines the corresponding access rights of the access request.
4. system according to claim 1, it is characterised in that described image pretreatment module includes,
Colouring information extraction unit, for according to the unmanned aerial vehicle remote sensing image, extracting rgb pixel colouring information；
Pixel Information processing unit, for carrying out gray scale stretching and normalized to the rgb pixel colouring information, obtains everywhere
Image information after reason；
Feature unit is extracted, according to described image information, color histogram and gradient orientation histogram is generated；According to the color
Rectangular histogram and the gradient orientation histogram, extract color characteristic and edge feature.
5. system according to claim 4, it is characterised in that described image data base, is additionally operable to store the color straight
Side's figure and the gradient orientation histogram.
6. system according to claim 1, it is characterised in that the system also includes,
Retrieval module, for obtaining image to be retrieved, extracts the color characteristic and edge feature of image to be retrieved；Will be described to be checked
The color characteristic and edge feature of rope image compared with color characteristic and edge feature in described image data base, according to than
Relatively result, determines the unmanned aerial vehicle remote sensing image matched with image to be retrieved in described image data base.
7. system according to claim 1, it is characterised in that the system also includes,
Enquiry module, for according to inquiry request, determining the data of the corresponding described image data base of the inquiry request.
8. system according to claim 1, it is characterised in that the system also includes,
Data outputting module, for the access rights to be compared with default access rights, according to comparative result, judgement is
It is no by specified data output.
9. system according to claim 1, it is characterised in that the system also includes,
Data input module, for the access rights to be compared with default access rights, according to comparative result, judgement is
It is no by specified data input.
10. the decorum according to claim 1, it is characterised in that the system also includes,
Data maintenance module, for the access rights to be compared with default access rights, according to comparative result, judgement is
It is no by specified data change or deletion.
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