CN111692978A - Multi-source image data-based illegal building identification method - Google Patents
Multi-source image data-based illegal building identification method Download PDFInfo
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- CN111692978A CN111692978A CN202010501792.6A CN202010501792A CN111692978A CN 111692978 A CN111692978 A CN 111692978A CN 202010501792 A CN202010501792 A CN 202010501792A CN 111692978 A CN111692978 A CN 111692978A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/06—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness for measuring thickness ; e.g. of sheet material
- G01B11/0608—Height gauges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/04—Interpretation of pictures
- G01C11/30—Interpretation of pictures by triangulation
- G01C11/34—Aerial triangulation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
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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
- G06V20/176—Urban or other man-made structures
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Abstract
The invention discloses a violation building identification method based on multi-source image data, which relates to the field of building supervision and comprises the following steps: firstly, acquiring construction record information of a first local building, acquiring a first image remotely sensed and shot by a satellite, and acquiring a solar altitude angle of the first local building; then, identifying the correction area of the floor area outline of the building in the first image, determining the building height of the first local building according to the shadow length and the solar altitude angle, and identifying the illegal building; and finally, matching with ground monitoring to confirm the violation condition. According to the method, through satellite image identification and according to the local sun altitude angle information of the building and the shadow of the building, the actual floor area and the building height of the building are obtained through solving, the actual floor area and the building height are compared with the recorded information, and when the actual floor area and the building height are not matched, the illegal building is identified; the invention can improve the efficiency and speed of identifying the building violation and reduce the labor cost.
Description
Technical Field
The invention belongs to the field of building supervision, and particularly relates to a violation building identification method based on multi-source image data.
Background
In real society, there are often some developers or individuals who conduct construction violations in the construction of properties.
In the traditional scheme, the construction violation information is obtained in a manual inspection or mass reporting mode. The method has the disadvantages that manual inspection violation is increased by labor cost. For the report of the masses, the masses do not know the construction record information of the building specifically, and when the building violation exists, the masses obtain the examination and approval record for the building.
Disclosure of Invention
In view of the above defects in the prior art, the invention provides a violation building identification method based on multi-source image data, aiming at automatically obtaining violation building information, reducing the labor cost of manual inspection, and communicating with the recorded information in the recorded database so as to improve the violation identification accuracy.
In order to achieve the purpose, the invention provides 1 a violation building identification method based on multi-source image data, which is characterized by comprising the following steps:
step S1, acquiring construction record information of the first local building; wherein the construction record information includes: GPS position information, filing height, layer number and floor area;
step S2, acquiring a first image remotely sensed and shot by a satellite according to the GPS position information of the first local building, and acquiring shooting information of the first image; wherein the photographing information includes: satellite shooting time and shooting angle; the satellite shooting time is day time, and the satellite shooting time comprises date and time of day;
step S3, obtaining the solar altitude angle alpha of the first local building at the satellite shooting time according to the date, the time of the day and the longitude and latitude corresponding to the GPS position information;
step S4, identifying the building floor space outline of the first local building in the first image, and correcting the building floor space outline according to the shooting angle to obtain the corrected area of the building floor space outline;
step S5, identifying the shadow length of the first local building in the first image, and determining the building height of the first local building according to the shadow length and the solar altitude;
step S6, responding to the fact that the correction area is not matched with the occupied area, and identifying the first local building as a violation building; in response to the building height not matching the docketing height, identifying the first local building as a violation building;
step S7, in response to the first local building being the violation building, acquiring a second image acquired by ground traffic monitoring at the satellite shooting time, and outputting the second image to a display terminal of a monitoring user so that the monitoring user can confirm the violation condition of the first local building.
In the technical scheme, the actual floor area and the building height of the building are obtained by solving through satellite image identification according to the local sun altitude angle information of the building and the shadow of the building, and are compared with the recorded information, and if the actual floor area and the building height are not matched with the recorded information, the illegal building is identified; based on the technical scheme, the efficiency and the speed of identifying the building violation can be improved, and the labor cost is reduced.
In a specific embodiment, the method further comprises:
and step S8, responding to the first local building is the violation building, sending an unmanned aerial vehicle to the GPS position information according to the GPS position information to confirm the violation condition of the first local building.
In the technical scheme, after the violation buildings are identified by the satellite, the unmanned aerial vehicle can be dispatched to the site for confirmation, so that a traffic-free camera in the area is avoided, and the unmanned aerial vehicle does not need to enter the site manually.
In a specific embodiment, the step S4 further includes:
step S41, identifying the building floor space outline of the first local building in the first image, and acquiring the initial area S of the building floor space outline0；
Step S42, according to the shooting angle theta, setting the initial area S of the floor space outline of the building0Correcting to obtain the corrected area of the floor space outline of the building
The theta is an acute angle.
In the technical scheme, the floor space profile of the building is corrected, the measurement error caused by the fact that the satellite shooting angle is not perpendicular to the local earth surface is reduced, and the accuracy of data solving is improved.
In a specific embodiment, the step S5 further includes:
identifying a building shadow length of the first local building in the first image, and determining a building height of the first local building according to the shadow length and the solar altitude angle;
step S51, acquiring a first coordinate position (x) of a far-end corner of the roof of the first local building far away from the sun in the first image1,y1)；
Step S52, identifying a vertical point corresponding to the far-end corner on the ground in the first image, and acquiring a second coordinate position (x) of the vertical point in the first image2,y2)；
Step S53, obtaining a third coordinate position (x) of the shadow point of the far-end corner on the ground in the first image3,y3)；
Step S54, solving the building height H of the first local building according to the second coordinate position, the third coordinate position and the solar altitude angle α
In the technical scheme, the coordinates of the point positions related to the building are obtained through image processing, and the coordinates are obtained through image processing
The building height is effectively and quickly solved so as to identify whether the building is a violation building.
The invention has the beneficial effects that: according to the method, through satellite image identification and according to the local sun altitude angle information of the building and the shadow of the building, the actual floor area and the building height of the building are obtained through solving, the actual floor area and the building height are compared with the recorded information, and when the actual floor area and the building height are not matched, the illegal building is identified; the invention can improve the efficiency and speed of identifying the building violation and reduce the labor cost.
Drawings
FIG. 1 is a flow chart of a violation building identification method based on multi-source image data provided by the invention;
fig. 2 is a geometric relationship diagram of a second coordinate position, a third coordinate position and a solar altitude of the violation building identification method based on multi-source image data.
Detailed Description
The invention is further illustrated by the following examples in conjunction with the accompanying drawings:
as shown in fig. 1-2, in a first embodiment of the present invention, a method for identifying a violation building based on multi-source image data is provided, the method includes:
step S1, acquiring construction record information of the first local building; wherein the construction record information includes: GPS position information, filing height, layer number and floor area;
step S2, acquiring a first image remotely sensed and shot by a satellite according to the GPS position information of the first local building, and acquiring shooting information of the first image; wherein the photographing information includes: satellite shooting time and shooting angle; the satellite shooting time is day time, and the satellite shooting time comprises date and time of day;
step S3, obtaining the solar altitude angle alpha of the first local building at the satellite shooting time according to the date, the time of the day and the longitude and latitude corresponding to the GPS position information;
step S4, identifying the building floor space outline of the first local building in the first image, and correcting the building floor space outline according to the shooting angle to obtain the corrected area of the building floor space outline;
step S5, identifying the shadow length of the first local building in the first image, and determining the building height of the first local building according to the shadow length and the solar altitude;
step S6, responding to the fact that the correction area is not matched with the occupied area, and identifying the first local building as a violation building; in response to the building height not matching the docketing height, identifying the first local building as a violation building;
step S7, in response to the first local building being the violation building, acquiring a second image acquired by ground traffic monitoring at the satellite shooting time, and outputting the second image to a display terminal of a monitoring user so that the monitoring user can confirm the violation condition of the first local building.
And step S8, responding to the first local building is the violation building, sending an unmanned aerial vehicle to the GPS position information according to the GPS position information to confirm the violation condition of the first local building.
In this embodiment, the step S4 further includes:
step S41, identifying the building floor space outline of the first local building in the first image, and acquiring the initial area S of the building floor space outline0；
Step S42, according to the shooting angle theta, setting the initial area S of the floor space outline of the building0Correcting to obtain the corrected area of the floor space outline of the building
The theta is an acute angle.
In this embodiment, the step S5 further includes:
identifying a building shadow length of the first local building in the first image, and determining a building height of the first local building according to the shadow length and the solar altitude angle;
step S51, acquiring a first image of a far-end corner of the roof of the first local building far away from the sun in the first imageCoordinate position (x)1,y1)；
Step S52, identifying a vertical point corresponding to the far-end corner on the ground in the first image, and acquiring a second coordinate position (x) of the vertical point in the first image2,y2)；
Step S53, obtaining a third coordinate position (x) of the shadow point of the far-end corner on the ground in the first image3,y3)；
Step S54, solving the building height H of the first local building according to the second coordinate position, the third coordinate position and the solar altitude angle α
The first coordinate position, the second coordinate position and the third coordinate position are coordinate positions converted by pixel point coordinates and actual lengths corresponding to unit pixel points; for example, in the first image, the abscissa of one pixel corresponds to 1m in the real map, and the abscissa of 10 pixels corresponds to 10m in the real map.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, any embodiments that can be obtained by a person skilled in the art through logic analysis, reasoning or limited experiments based on the prior art according to the concept of the present invention shall fall within the scope of protection defined by the claims.
Claims (4)
1. A violation building identification method based on multi-source image data is characterized by comprising the following steps:
step S1, acquiring construction record information of the first local building; wherein the construction record information includes: GPS position information, filing height, layer number and floor area;
step S2, acquiring a first image remotely sensed and shot by a satellite according to the GPS position information of the first local building, and acquiring shooting information of the first image; wherein the photographing information includes: satellite shooting time and shooting angle; the satellite shooting time is day time, and the satellite shooting time comprises date and time of day;
step S3, obtaining the solar altitude angle alpha of the first local building at the satellite shooting time according to the date, the time of the day and the longitude and latitude corresponding to the GPS position information;
step S4, identifying the building floor space outline of the first local building in the first image, and correcting the building floor space outline according to the shooting angle to obtain the corrected area of the building floor space outline;
step S5, identifying the shadow length of the first local building in the first image, and determining the building height of the first local building according to the shadow length and the solar altitude;
step S6, responding to the fact that the correction area is not matched with the occupied area, and identifying the first local building as a violation building; in response to the building height not matching the docketing height, identifying the first local building as a violation building;
step S7, in response to the first local building being the violation building, acquiring a second image acquired by ground traffic monitoring at the satellite shooting time, and outputting the second image to a display terminal of a monitoring user so that the monitoring user can confirm the violation condition of the first local building.
2. The method for identifying a violation building based on multi-source image data as recited in claim 1, wherein the method further comprises:
and step S8, responding to the first local building is the violation building, sending an unmanned aerial vehicle to the GPS position information according to the GPS position information to confirm the violation condition of the first local building.
3. The method for identifying illegal building based on multi-source image data of claim 1, wherein the step S4 further comprises:
step S41, identifying the building floor space outline of the first local building in the first image, and acquiring the initial area S of the building floor space outline0；
Step S42, according to the shooting angle theta, setting the initial area S of the floor space outline of the building0Correcting to obtain the corrected area of the floor space outline of the building
The theta is an acute angle.
4. The method for identifying illegal building based on multi-source image data of claim 1, wherein the step S5 further comprises:
identifying a building shadow length of the first local building in the first image, and determining a building height of the first local building according to the shadow length and the solar altitude angle;
step S51, acquiring a first coordinate position (x) of a far-end corner of the roof of the first local building far away from the sun in the first image1,y1)；
Step S52, identifying a vertical point corresponding to the far-end corner on the ground in the first image, and acquiring a second coordinate position (x) of the vertical point in the first image2,y2)；
Step S53, obtaining a third coordinate position (x) of the shadow point of the far-end corner on the ground in the first image3,y3)；
Step S54, solving the building height H of the first local building according to the second coordinate position, the third coordinate position and the solar altitude angle α
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| CN112348708A (en) * | 2020-11-05 | 2021-02-09 | 哈尔滨航天恒星数据系统科技有限公司 | Illegal construction acquisition and classification method based on urban old cell transformation |
| CN112651338A (en) * | 2020-12-26 | 2021-04-13 | 广东电网有限责任公司电力科学研究院 | Method and device for distinguishing hidden danger of illegal construction of power transmission line |
| CN113822247A (en) * | 2021-11-22 | 2021-12-21 | 广东泰一高新技术发展有限公司 | Method and system for identifying illegal building based on aerial image |
| CN116580419A (en) * | 2023-07-13 | 2023-08-11 | 江西慧航工程咨询有限公司 | AI-based building model testing method |
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