CN106355166A - Monitoring video and remote sensing image-based dust-haze spreading path drawing and source determination method - Google Patents

Monitoring video and remote sensing image-based dust-haze spreading path drawing and source determination method Download PDF

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Publication number
CN106355166A
CN106355166A CN201610893523.2A CN201610893523A CN106355166A CN 106355166 A CN106355166 A CN 106355166A CN 201610893523 A CN201610893523 A CN 201610893523A CN 106355166 A CN106355166 A CN 106355166A
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haze
image
remote sensing
gray haze
grid
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CN106355166B (en
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余先川
詹英
田海峰
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Beijing Normal University
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Beijing Normal University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/13—Satellite images
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/182—Network patterns, e.g. roads or rivers
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30181—Earth observation
    • G06T2207/30192—Weather; Meteorology

Abstract

The invention discloses a method for dividing areas by adopting grids and analyzing pollution index variation trend reflected by monitoring video data and remote sensing image data in the grid to trace a direct dust-haze generation source in real time. The method comprises the following steps: at first, performing grid area division on a region, and simultaneously establishing a video-image-based haze-free reference image sample library for each grid; then analyzing a video monitoring image, distinguishing fog from haze by combining haze-less reference images on the basis of time series analysis, and determining a dust-haze index, level, variation trend and variation speed of the monitoring image at a current position; finally drawing a time-varying dust-haze spreading path according to the position of a monitoring video, the dust-haze index, the level and the time-varying trend by comobining an areal fog and haze variation trend obtained by remote sensing image analysis, further obtaining a grid sequence on the path, finally determining a specific pollution source grid and determining a responsibility subject of the pollution source. The method can be used for timely positioning a direct dust-haze generation source of a specific area in real time, and has the advantages of high recognition accuracy and high efficiency.

Description

A kind of true with source with the gray haze the evolving path drafting of remote sensing images based on monitor video Determine method
Technical field:
The invention belongs to computer image processing technology and atmosphere pollution monitoring field are and in particular to adopt net to one kind Lattice zoning, by analyzing the pollution index variation tendency of monitor video data and remote sensing image data reflection in grid, chases after The method of gray haze of tracing back direct sources.
Background technology:
Current atmospheric combined pollution source is complicated and is in quick change, and it is still severe that air quality improves present situation.Mesh Front from policies such as " limited productions stop production, stop work restrict driving " macroscopically taken be perishability, provisional clean cut measure, not With serious pollution enterprise can be dissolved steal row, destroy the problems such as monitoring device, malice forgery Monitoring Data, greatly compromise simultaneously The enthusiasm of enterprise of abiding by the law and economic interests, also cannot ensure " normalization " that air quality is improved.
No. 201310141896.0 Chinese invention patent that on April 13rd, 2016 authorizes, discloses a kind of being based on and calculates The haze monitoring method of machine vision, the calculating based on object visual signature and from the case of different hazes sample image right Ratio provides the monitoring result for haze.By difference another characteristic between color, shape, texture and the far and near object of expression Vector, contrast images, obtain gray haze rank.
Monitor video is used primarily in traffic and security monitoring at present, and the application relevant with gray haze is concentrated mainly on video figure As on mist elimination.In documents 1) in, by high speed monitoring gray haze graphical analyses, by image haze grade be divided into dense fog, Little mist and fogless.
Atmosphere pollution dispersal pattern is widely used for the diffusion profile situation of simulation and forecast pollutant at present, and assessment is big Gas environmental quality (with reference to documents 2).Atmosphere pollution dispersal pattern combines pollutant levels and meteorological data quantitatively to divide Analysis pollutant conveying in an atmosphere, diffusion characteristic.Initially, the research theoretical core of pattern is that Gaussian is theoretical, applies model Enclosing is little yardstick.With the development of the gradually deep of research and computer, start with computer and carry out numerical computations, pattern The scope of application is to mesoscale, large scale extension.At present, numerical computations have become as the main stream approach of research, and research range also exists Progressively expand.But be limited to complicated topographic features under little yardstick, and contamination monitoring equipment use rare it is impossible to have Effect is monitored gray haze occurring source in real time, is determined responsible party.
Remote sensing images can be used for region is carried out with the determination of pollutant sources.With reference to documents 3, remote sensing images can use Some region of haze source is reviewed, obtain the other pollutant sources of region class and judge.
Documents 1: Xia Chuanwen. some key technology research of freeway net operational monitoring [d]. South China Science ＆ Engineering University, 2013.
Documents 2: Chi Yanyan, Zhang Huiyuan. the summarized research [j] of atmosphere pollution dispersal pattern. environmental pollution With preventing and treating .2007 (05)
Documents 3: wear sheep sheep etc. District of Shanghai haze study on monitoring [j] based on remote sensing. Surveying Engineering .2015 (12)
Content of the invention:
Above method is to monitor local gray haze in gray haze grade evaluation, using monitor video and use Digital calculation modelling Three independent sectors of pollutant dispersion model are described separately how to monitor gray haze, but cannot be distinguished by mist and haze, will not be overall big Density monitoring dynamic movement gets up, and is not directed to the time dependent monitoring of gray haze grade, does not more draw gray haze the evolving path, Cannot determine that gray haze directly generates source place.The diffusion of numerical simulation pollutant, too big with actual difference simultaneously.And only to ash Haze change of rank enters Mobile state and overall trend analysiss, just can carry out the drafting of gray haze the evolving path, and further determine that gray haze Discharge main body.
The present invention provides a kind of method, is built by gridding region division and no gray haze image pattern storehouse, using grid Inner video image haze change of rank is monitored, and in conjunction with Multi-phases dynamic analysis and remote sensing images global analysises, draws gray haze diffusion Path and distribution, thus position gray haze direct sources and responsible party in concrete grid.Wherein regional network is formatted is premise, depending on Frequency image gray haze grade classification and Multi-phases dynamic analysis are crucial, and the precision of its related data association analysis can affect gray haze The accuracy that the evolving path is drawn.
This method comprises stress and strain model, video image gray haze mutation analysises, the drafting of gray haze the evolving path and discharge responsibility master Body determines three steps.
The content of each step concrete is as follows:
1st, stress and strain model: gridding subregion is carried out to area, sets up the no haze based on video image for each grid simultaneously Reference map Sample Storehouse.
2nd, image gray haze grade identification: by being analyzed to video monitoring image, in conjunction with no haze reference map, be simultaneously based on Time series analysis, distinguishes mist and haze, determines current location monitoring image ash haze index, grade, variation tendency, pace of change.
3rd, gray haze the evolving path is drawn and is determined with discharge responsible party: according to monitor video location, gray haze grade, at any time Between variation tendency, remote sensing images large area haze variation tendency, draw time dependent gray haze the evolving path, and then obtain road Grid sequence on footpath, finally determines concrete polluter grid.
Specific embodiment:
Disclosure address how the problem of monitor in real time gray haze direct sources main body.By gridding urban area, adopt Analysis, and the global data analysis based on remote sensing images are analyzed and changed over to monitor video haze change of rank, in real time Draw current gray haze the evolving path, and then determine concrete gray haze source grid, determine source main body.Embodiment is as follows:
1st, stress and strain model: according to geographical position, determine that grid is appropriately sized, area to be monitored is carried out stress and strain model.System Meter obtains road and video monitoring data in net region, sets up round-the-clock, multidate no haze reference monitor administrative division map decent This storehouse.
2nd, image gray haze grade identification: (a) determines the time interval of image acquisition, Real-time Collection monitor video image.(b) Remove invalid image, extract picture contrast change, graded, visibility information, determine the haze index of gray haze image. C () compares the no haze reference map in present image and Sample Storehouse, determine gray haze grade.If dot image mist at short notice samely Haze grade changes, then judge that this image, for mist image, is not haze image, by this mist image-erasing.D image that () will be analyzed Mark video ash haze index, grade, time, it is stored in data base after positional information.
3rd, monitoring position and time serieses are obtained: select valuable monitor video position and temporal information, in conjunction with monitoring The time dependent trend of gray haze class information of site and remote sensing images large area haze change monitoring, obtain gray haze diffusion road More specific location information in footpath and temporal information.
4th, carry out haze entirety trajectory analysis using remote sensing images: haze remote sensing images are carried out point using hysput pattern Analysis, carries out polluter head from large scale and reviews.
5th, gray haze the evolving path is drawn: according to obtained having the position of time serieses feature, video ash haze index, etc. Level information, remote sensing analysis data, draw time dependent gray haze the evolving path.The drafting time with hour, day, week can be Unit.
6th, originate the determination of grid: according to gray haze the evolving path and gray haze change of rank process in time, find gray haze straight Connecing the generating resource place grid, thus reducing source scope of subject, determining responsible party.

Claims (4)

1. a kind of determination method of being drawn and originated based on the gray haze the evolving path of monitor video and remote sensing images, draws including grid Divide, video image gray haze mutation analysises, gray haze the evolving path are drawn and determined three steps with discharge responsible party.
2. as claim 1 is drawn and source determination method based on the gray haze the evolving path of monitor video and remote sensing images, wherein Stress and strain model includes:
According to geographical position, determine that grid is appropriately sized, area to be monitored is carried out gridding division.Statistics obtains net region Interior road and video monitoring data, set up round-the-clock, multidate no haze reference monitor region image data storehouse.
3. as claim 1 is drawn and source determination method based on the gray haze the evolving path of monitor video and remote sensing images, wherein Video image gray haze mutation analysises include:
A () determines the time interval of image acquisition, Real-time Collection monitor video image.B () removes invalid image, extract image pair Ratio degree change, graded, visibility information, determine the haze index of gray haze image.C () compares in present image and Sample Storehouse No haze reference map, determine gray haze grade.If dot image haze grade changes at short notice samely, judge this figure Picture is mist image, is not haze image, by this mist image-erasing.(d) by analyze image labeling video ash haze index, grade, when Between, be stored in data base after positional information.
4. as claim 1 is drawn and source determination method based on the gray haze the evolving path of monitor video and remote sensing images, wherein Gray haze the evolving path is drawn and is determined that step includes with discharge responsible party:
A () selects valuable monitor video position and temporal information, in conjunction with the haze index of monitoring site, class information at any time Between change trend, obtain haze the evolving path in more specific location information and temporal information.
B () carries out haze entirety trajectory analysis using remote sensing images: using hysput pattern, haze remote sensing images are analyzed, Polluter head is carried out from large scale review.
C () gray haze the evolving path is drawn: according to obtained having the position of time serieses feature, grey haze index, class information, Remote sensing analysis data, draws time dependent gray haze the evolving path.The drafting time can be in units of hour, day, week.
D () is originated the determination of grid: according to gray haze the evolving path and gray haze change of rank process in time, find the source of gray haze Grid, thus reducing source scope of subject, determines responsible party.
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CN108052872A (en) * 2017-11-27 2018-05-18 易瓦特科技股份公司 Identify the method, apparatus and system in gray haze source
CN108052874A (en) * 2017-11-27 2018-05-18 易瓦特科技股份公司 Method, apparatus and system based on remote server identification gray haze source
CN108052871A (en) * 2017-11-27 2018-05-18 易瓦特科技股份公司 Method, apparatus and system based on earth station's identification gray haze source
CN108052873A (en) * 2017-11-27 2018-05-18 易瓦特科技股份公司 The method, apparatus and system being identified based on earth station to gray haze source
CN108052875A (en) * 2017-11-27 2018-05-18 易瓦特科技股份公司 Method, apparatus and system based on remote server identification gray haze source
CN108062513A (en) * 2017-11-27 2018-05-22 易瓦特科技股份公司 The method, apparatus and system being identified based on remote server to gray haze source
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CN108121947A (en) * 2017-11-27 2018-06-05 易瓦特科技股份公司 It is warned based on earth station the method, apparatus and system in gray haze source
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