CN114046779A - Vision measurement adjustment method based on additional large-scale constraint between observation station and control point - Google Patents

Vision measurement adjustment method based on additional large-scale constraint between observation station and control point Download PDF

Info

Publication number
CN114046779A
CN114046779A CN202111407992.6A CN202111407992A CN114046779A CN 114046779 A CN114046779 A CN 114046779A CN 202111407992 A CN202111407992 A CN 202111407992A CN 114046779 A CN114046779 A CN 114046779A
Authority
CN
China
Prior art keywords
station
point
observation
measuring
space
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202111407992.6A
Other languages
Chinese (zh)
Other versions
CN114046779B (en
Inventor
马娜
罗涛
王铜
梁静
王小龙
李波
董岚
门玲鸰
柯志勇
何振强
卢尚
韩圆颖
闫路平
张露彦
刘晓阳
闫皓月
张晓辉
沈建新
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Institute of High Energy Physics of CAS
Spallation Neutron Source Science Center
Original Assignee
Institute of High Energy Physics of CAS
Spallation Neutron Source Science Center
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Institute of High Energy Physics of CAS, Spallation Neutron Source Science Center filed Critical Institute of High Energy Physics of CAS
Priority to CN202111407992.6A priority Critical patent/CN114046779B/en
Publication of CN114046779A publication Critical patent/CN114046779A/en
Application granted granted Critical
Publication of CN114046779B publication Critical patent/CN114046779B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C11/00Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
    • G01C11/04Interpretation of pictures
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C11/00Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
    • G01C11/04Interpretation of pictures
    • G01C11/06Interpretation of pictures by comparison of two or more pictures of the same area
    • G01C11/12Interpretation of pictures by comparison of two or more pictures of the same area the pictures being supported in the same relative position as when they were taken

Abstract

The invention discloses a vision measurement adjustment method based on additional large-scale constraint between a survey station and a control point, belonging to the technical field of vision measurement and comprising the following steps: s10, arranging a series of space point positions in the area to be measured; s20, determining a measuring station, and arranging the measuring instrument at the determined station as a measuring station; s30, leveling the vision measuring instrument, and taking a first picture of the space control point; s40, rotating the horizontal rotary table or the vertical rotary table, and shooting again until shooting is finished; s50, distance measurement is carried out on the point positions of the space control points; s60, moving to the next station, and repeating the steps S10-S50; and S70, inputting the measurement parameters of the measuring station into the adjustment model to obtain the coordinates and the postures of the measuring station and the coordinates of the space point positions. The invention establishes the distance constraint between the center of the instrument and the measured point and the angle constraint under the shooting posture, and can improve the photogrammetric precision of a large-range area.

Description

Vision measurement adjustment method based on additional large-scale constraint between observation station and control point
Technical Field
The invention belongs to the technical field of vision measurement, and particularly relates to a vision measurement adjustment method of a vision measuring instrument with a turntable and a distance measurement function based on large-scale constraint between a measuring station and a control point.
Background
The close-range industrial photogrammetry system is a non-contact measurement, and adopts a single camera or a plurality of cameras to shoot one or a plurality of pictures for a measured object, and utilizes the imaging information of the measured object on a camera image sensor to realize the measurement of the three-dimensional space position of the measured object. Compared with the traditional contact type measurement, the method has the obvious advantages of high measurement efficiency, few operators, flexible station selection and the like. However, for a large range of measurement, especially for the measurement of the long strip-shaped accelerator tunnel control net, the precision of the method has a certain gap compared with a tracker, and the main reason is the lack of large-scale space constraint.
Therefore, there is an urgent need for an accelerator tunnel control network measurement method that can improve photogrammetry accuracy over a wide area.
Disclosure of Invention
The invention provides an accelerator tunnel control network measuring method capable of improving photogrammetry precision of a large-range area, which adopts the following technical scheme:
a vision measurement adjustment method based on additional large-scale constraint between a survey station and a control point comprises the following steps:
s10, arranging a series of space point positions to be measured in an area to be measured, wherein a coordinate system where the points are located is called an object space coordinate system;
s20, determining a measuring station, and arranging the measuring instrument at the determined station as a measuring station;
s30, leveling the vision measuring instrument, and taking a first picture of a space control point at a measuring station; after shooting is finished, taking the measuring position as an initial measuring position of the measuring station;
s40, rotating the horizontal rotary table or the vertical rotary table, photographing the space control point again, and simultaneously recording the angle information of the rotary table until all the measured pictures of the measuring station are photographed;
s50, carrying out distance measurement on the space point to obtain a distance observation value of the measuring instrument;
s60, moving to the next station, repeating the steps S10-S50, and then carrying out related work of distance and photogrammetry on the space point;
s70, inputting observation values and photogrammetric parameters obtained by measurement at the same station into adjustment models of image points on different measurement photos at the same station;
the adjustment model is suitable for observation data of different stations, and finally coordinates and postures of all stations and coordinates of spatial point positions are obtained.
Further, the observation value comprises a photographed image point coordinate, a distance observation value and a posture deviation between different photos, wherein the posture deviation between different photos is an angle observation value of the rotary table.
Further, the relationship between the coordinates of the image point on the photograph and the coordinates of the object space is expressed as follows:
Figure BDA0003373078100000021
in the above formula, the photo coordinate system between the image principal point and the corresponding image point is O _ xy, and the object coordinate system of the measurement area is O _ XYZ; wherein the coefficient a1,a2,a3,b1b2,b3,c1,c2,c3The transformation relation matrix is a conversion relation matrix among a photo coordinate system, an image space auxiliary coordinate system, an image space coordinate system and an object space coordinate system, implies external elements of the camera, and comprises a survey station position parameter and a posture parameter; x is the number of0,y0The coordinate of the image principal point in the image coordinate system is shown, f is the focal length of the camera and is collectively called as the internal orientation element of the camera; x and y are coordinates of the corresponding object space point in an o _ xy coordinate system at an image point, namely observed values in photogrammetry; xs,Ys,ZsCoordinates of the center of the measuring station in an object space coordinate system O _ XYZ are position parameters of the measuring station; x, Y and Z are coordinates of the measuring point in an O _ XYZ coordinate system.
Further, the distance observation is represented as follows:
Figure BDA0003373078100000022
where i, j are two points in object space, (X)i,Yi,Zi) And (X)j,Yj,Zj) Is the spatial coordinate between the two points i, j; i. j distance S between two pointsijCan be expressed by the above formula as a distance scale constraint of space.
Further, the station angle observation is the deviation of the attitude of the other pictures i of the same station from the initial picture 1, which can be obtained from the turn table reading, wherein the turn table parameters can be calculated by the following formula:
Δθi1=θi1
theta in the above formula represents the attitude deviation of different photographs of the same station in three directions.
Further, on different photos of the same station, the adjustment models of the photographed image point coordinates, the distance observation values, the observation data of the attitude deviation among the different photos, the station coordinates and the space measurement point coordinates are as follows:
Figure BDA0003373078100000031
wherein (x)1,y1) Is the image point coordinate 1 of the space point 1 on the initial picture, (x)2,y2) The spatial point 2 is the image point coordinate 2 on the image 2 of the measuring station; (Δ X)1,ΔY1,ΔZ1) And (Δ X)2,ΔY2,ΔZ2) Is a parameter to be estimated, Delta X, of the spatial coordinates of an object space point location 1 and an object space point location 2s1,ΔYs1,ΔZs1,Δw1
Figure BDA0003373078100000032
Δk1The parameter to be estimated, Δ w, of the exterior orientation element of the initial photograph2
Figure BDA0003373078100000033
△k2The position parameter of the picture 2 is consistent with the initial picture as the parameter to be estimated of the picture 2 posture; v. ofx1,vy1,vx2,vy2Is the correction of the observed values of image point 1 and image point 2, lx1,ly1,lx2,ly2Is the difference between the image point observation and the approximate value;
Figure BDA0003373078100000041
respectively a space point location 1, a space point location 2 and a station S1The number of corrections to the distance observation,
Figure BDA0003373078100000042
is the difference between the measured distance value and the approximate value;
Figure BDA0003373078100000043
Figure BDA0003373078100000044
is the correction of the observed value of the attitude deviation between the photos;
Figure BDA0003373078100000045
subtracting an approximate value from an actual measurement value of the attitude deviation between the photos;
the expression (1) indicates the image point (x)1,y1) The adjustment formula of (2); the expression (2) indicates the image point (x)2,y2) The adjustment formula of (2); formula (3) object space point (X)1,Y1,Z1) A distance observation value adjustment model with the center of the observation station; the formula (4) is an object space point (X)2,Y2,Z2) A distance observation value adjustment model with the center of the observation station; equations (5), (6) and (7) are the pose parameter relationships of the initial photograph and the other photographs; where equations (3), (4), (5), (6) and (7) are angle and distance constraints on the photogrammetric space on a large scale, the image point adjustment model on the initial photograph and other photographs on the station is similar to that shown above.
Further, the 6 exterior orientation elements of different photographs of the same station have the same position pose, but have different angular poses.
Further, before step S10, the surveying instrument is mounted on an instrument stand through a triangular base, and the surveying instrument is leveled.
Further, in step S40, the position of the instrument holder remains unchanged.
Furthermore, the measuring instrument comprises a distance measuring module, a vision measuring module, a vertical rotary table and a horizontal rotary table, wherein the vertical rotary table is rotatably connected with the horizontal rotary table; the vision measuring module is rotationally connected with the vertical rotary table; the distance measuring module is connected with the vision measuring module.
Has the advantages that:
according to the vision measurement adjustment method based on the large-scale constraint added between the measuring station and the control point, the distance constraint between the instrument center and the measured point and the angle constraint under the shooting posture are established, and the photogrammetric precision of a large-scale area can be improved.
Drawings
FIG. 1 is a flow chart of a vision measurement adjustment method based on an additional large-scale constraint between a survey station and a control point according to the present invention;
FIG. 2 is a schematic overall structure diagram of the measuring instrument;
10, a horizontal turntable; 20. a vision measurement module; 30. a vertical turntable; 40. and a distance measuring module.
Detailed Description
Example 1
A vision measurement adjustment method based on additional large-scale constraint between a survey station and a control point comprises the following steps:
and S10, arranging a series of space point positions to be measured in the region to be measured, wherein the coordinate system of the points is called an object space coordinate system.
S20, determining a measuring station, and arranging the measuring instrument at the determined station as a measuring station;
s30, leveling the vision measuring instrument, and taking a first picture of a space control point at a measuring station; after shooting is finished, taking the measuring position as an initial measuring position of the measuring station;
s40, rotating the horizontal rotary table or the vertical rotary table, photographing the space control point again, and simultaneously recording the angle information of the rotary table until all the measured pictures of the measuring station are photographed;
s50, carrying out distance measurement on the space point to obtain a distance observation value of the measuring instrument; in this embodiment, the distance measurement point is not necessarily the point visually photographed by the station, but may be a point far from the station and not photographed by photogrammetry;
s60, moving to the next station, repeating the steps S10-S50, and then carrying out related work of distance and photogrammetry on the space point;
s70, inputting the observed value and the photogrammetric parameters measured by the same station into the adjustment model of the image points on different measured pictures of the same station,
the adjustment model is suitable for observation data of different stations, and coordinates and postures of all stations and coordinates of spatial point positions are obtained finally.
In this embodiment, the observation includes the photographed image point coordinates, the distance observation, and the inter-photo attitude deviation, which is the angle observation of the turntable.
The relationship between the coordinates of the image points on the picture and the coordinates of the object space is expressed as follows:
Figure BDA0003373078100000061
in the above formula, the photo coordinate system between the image principal point and the corresponding image point is O _ xy, and the object coordinate system of the measurement area is O _ XYZ; wherein the coefficient a1,a2,a3,b1b2,b3,c1,c2,c3The transformation relation matrix is a conversion relation matrix among a photo coordinate system, an image space auxiliary coordinate system, an image space coordinate system and an object space coordinate system, implies external elements of the camera, and comprises a survey station position parameter and a posture parameter; x is the number of0,y0The coordinate of the image principal point in the image coordinate system is shown, f is the focal length of the camera and is collectively called as the internal orientation element of the camera; x and y are coordinates of the corresponding object space point in an o _ xy coordinate system at an image point, namely observed values in photogrammetry; xs,Ys,ZsCoordinates of the center of the measuring station in an object space coordinate system O _ XYZ are position parameters of the measuring station; x, Y and Z are coordinates of the measuring point in an O _ XYZ coordinate system.
In the present embodiment, the distance observation value is expressed as follows:
Figure BDA0003373078100000062
where i, j are two points in object space, (X)i,Yi,Zi) And (X)j,Yj,Zj) Is the spatial coordinate between the two points i, j; i. j distance S between two pointsijCan be expressed by the above formula as a distance scale constraint of space.
In this embodiment, the station angle observation is the deviation of the attitude of the other pictures i of the same station from the initial picture 1, which can be obtained from the turntable reading, wherein the turntable parameter can be calculated by the following formula:
Δθi1=θi1
theta in the above formula represents the attitude deviation of different photographs of the same station in three directions.
In this embodiment, on different photos of the same station, the adjustment models of the coordinates of the photographed image points, the distance observation values, the observation data of the attitude deviations among the different photos, the coordinates of the station, and the coordinates of the space measurement points are as follows:
Figure BDA0003373078100000071
wherein (x)1,y1) Is the image point coordinate 1 of the space point 1 on the initial picture, (x)2,y2) Image point of space point 2 on the image point of the observation station picture 2Marking 2; (Δ X)1,ΔY1,ΔZ1) And (Δ X)2,ΔY2,ΔZ2) Is a parameter to be estimated, Delta X, of the spatial coordinates of an object space point location 1 and an object space point location 2s1,ΔYs1,ΔZs1,Δw1
Figure BDA0003373078100000072
Δk1The parameter to be estimated, Δ w, of the exterior orientation element of the initial photograph2
Figure BDA0003373078100000073
△k2The position parameter of the picture 2 is consistent with the initial picture as the parameter to be estimated of the picture 2 posture; v. ofx1,vy1,vx2,vy2Is the correction of the observed values of image point 1 and image point 2, lx1,ly1,lx2,ly2Is the difference between the image point observation and the approximate value;
Figure BDA0003373078100000074
respectively a space point location 1, a space point location 2 and a station S1The number of corrections to the distance observation,
Figure BDA0003373078100000075
is the difference between the measured distance value and the approximate value;
Figure BDA0003373078100000076
Figure BDA0003373078100000077
is the correction of the observed value of the attitude deviation between the photos;
Figure BDA0003373078100000078
subtracting an approximate value from an actual measurement value of the attitude deviation between the photos;
the expression (1) indicates the image point (x)1,y1) The adjustment formula of (2); the expression (2) indicates the image point (x)2,y2) The adjustment formula of (2); formula (3) object space point (X)1,Y1,Z1) A distance observation value adjustment model with the center of the observation station; the formula (4) is an object space point (X)2,Y2,Z2) A distance observation value adjustment model with the center of the observation station; equations (5), (6) and (7) are the pose parameter relationships of the initial photograph and the other photographs; where equations (3), (4), (5), (6) and (7) are angle and distance constraints on the photogrammetric space on a large scale, the image point adjustment model on the initial photograph and other photographs on the station is similar to that shown above.
In this embodiment, the picture 2 is a picture taken at the same station and different from the initial position.
Before step S10, the surveying instrument is mounted on the instrument stand through the triangular base, and the surveying instrument is leveled.
In step S40, the position of the instrument holder remains unchanged.
In the embodiment, the measuring instrument comprises a distance measuring module 40, a vision measuring module 20, a vertical rotary table 30 and a horizontal rotary table 10, wherein the vertical rotary table 30 is rotatably connected with the horizontal rotary table 10; the vision measuring module 20 is rotatably connected with the vertical rotary table 30; the ranging module 40 is connected with the vision measuring module 20.
Wherein, the ranging module 40 can obtain the instrument distance; the vision measurement module 20 can obtain the relationship between the image points and the control points; thus forming an instrument with the functions of vision measurement, distance measurement and angle measurement. Thus, the distance constraint between the instrument center and the measured point and the angle constraint under the shooting posture can be established in the measurement.
In this embodiment, different stations capture the same spatial point locations to form redundant information.
In this embodiment, the coordinates of the spatial point location are obtained by performing adjustment on the whole photos of different stations.
The above embodiments are only preferred embodiments of the present invention, and are not intended to limit the technical scope of the present invention, so that any minor modifications, equivalent changes and modifications made to the above embodiments according to the technical spirit of the present invention still belong to the technical scope of the present invention.

Claims (10)

1. A vision measurement adjustment method based on large-scale constraint added between a survey station and a control point is characterized by comprising the following steps:
s10, arranging a series of space point positions to be measured in an area to be measured, wherein a coordinate system where the points are located is called an object space coordinate system;
s20, determining a measuring station, and arranging the measuring instrument at the determined station as a measuring station;
s30, leveling the vision measuring instrument, and taking a first picture of a space control point at a measuring station; after shooting is finished, taking the measuring position as an initial measuring position of the measuring station;
s40, rotating the horizontal rotary table or the vertical rotary table, photographing the space control point again, and simultaneously recording the angle information of the rotary table until all the measured pictures of the measuring station are photographed;
s50, carrying out distance measurement on the space point to obtain a distance observation value of the measuring instrument;
s60, moving to the next station, repeating the steps S10-S50, and then carrying out related work of distance and photogrammetry on the space point;
s70, inputting observation values and photogrammetric parameters obtained by measurement in the same station into adjustment models of image points on different measurement pictures in the same station;
the adjustment model is suitable for observation data of different stations, and finally coordinates and postures of all stations and coordinates of spatial point positions are obtained.
2. The vision-measurement adjustment method based on the additional large-scale constraint between the observation station and the control point according to claim 1, characterized in that the observation values comprise the coordinates of the photographed image point, the distance observation value and the different inter-photograph attitude deviation, wherein the different inter-photograph attitude deviation is the angle observation value of the rotation table.
3. The vision measurement adjustment method based on the large-scale constraint between the observation station and the control point as claimed in claim 2, wherein the relationship between the coordinates of the image point on the photograph and the coordinates of the object space is expressed as follows:
Figure FDA0003373078090000011
in the above formula, the photo coordinate system between the image principal point and the corresponding image point is O _ xy, and the object coordinate system of the measurement area is O _ XYZ; wherein the coefficient a1,a2,a3,b1b2,b3,c1,c2,c3The transformation relation matrix is a conversion relation matrix among a photo coordinate system, an image space auxiliary coordinate system, an image space coordinate system and an object space coordinate system, implies external elements of the camera, and comprises a survey station position parameter and a posture parameter; x is the number of0,y0The coordinate of the image principal point in the image coordinate system is shown, f is the focal length of the camera and is collectively called as the internal orientation element of the camera; x and y are coordinates of the corresponding object space point in an o _ xy coordinate system at an image point, namely observed values in photogrammetry; xs,Ys,ZsCoordinates of the center of the measuring station in an object space coordinate system O _ XYZ are position parameters of the measuring station; x, Y and Z are coordinates of the measuring point in an O _ XYZ coordinate system.
4. The vision measurement adjustment method based on the large-scale constraint between the observation station and the control point is characterized in that the distance observation value is represented as follows:
Figure FDA0003373078090000021
where i, j are two points in object space, (X)i,Yi,Zi) And (X)j,Yj,Zj) Is the spatial coordinate between the two points i, j; i. j distance S between two pointsijCan be expressed by the above formula as a distance scale constraint of space.
5. The vision measurement adjustment method based on the additional large-scale constraint between the observation station and the control point of claim 4, wherein the observation of the platform angle is the attitude deviation of other photos i of the same observation station relative to the initial photo 1 obtained from the reading of the turntable, and wherein the parameters of the turntable can be calculated by the following formula:
Δθi1=θi1
theta in the above formula represents the attitude deviation of different photographs of the same station in three directions.
6. The vision measurement adjustment method based on the large-scale constraint between the observation station and the control point as claimed in claim 5, wherein the adjustment models of the coordinates of the image point, the distance observation value and the observation data of the attitude deviation between different photos, the coordinates of the observation station and the coordinates of the space measurement point on different photos of the same observation station are as follows:
Figure FDA0003373078090000031
wherein (x)1,y1) Is the image point coordinate 1 of the space point 1 on the initial picture, (x)2,y2) The spatial point 2 is the image point coordinate 2 on the image 2 of the measuring station; (Δ X)1,ΔY1,ΔZ1) And (Δ X)2,ΔY2,ΔZ2) Is a parameter to be estimated, Delta X, of the spatial coordinates of an object space point location 1 and an object space point location 2s1,ΔYs1,ΔZs1,Δw1
Figure FDA0003373078090000032
Δk1The parameter to be estimated, Δ w, of the exterior orientation element of the initial photograph2
Figure FDA0003373078090000033
△k2The position parameter of the picture 2 is consistent with the initial picture as the parameter to be estimated of the picture 2 posture; v. ofx1,vy1,vx2,vy2Is image point 1 andcorrection of the observed value of image point 2,/x1,ly1,lx2,ly2Is the difference between the image point observation and the approximate value;
Figure FDA0003373078090000034
respectively a space point location 1, a space point location 2 and a station S1The number of corrections to the distance observation,
Figure FDA0003373078090000035
is the difference between the measured distance value and the approximate value;
Figure FDA0003373078090000036
Figure FDA0003373078090000037
is the correction of the observed value of the attitude deviation between the photos;
Figure FDA0003373078090000038
subtracting an approximate value from an actual measurement value of the attitude deviation between the photos;
the expression (1) indicates the image point (x)1,y1) The adjustment formula of (2); the expression (2) indicates the image point (x)2,y2) The adjustment formula of (2); formula (3) object space point (X)1,Y1,Z1) A distance observation value adjustment model with the center of the observation station; the formula (4) is an object space point (X)2,Y2,Z2) A distance observation value adjustment model with the center of the observation station; equations (5), (6) and (7) are the pose parameter relationships of the initial photograph and the other photographs; where equations (3), (4), (5), (6) and (7) are angle and distance constraints on the photogrammetric space on a large scale, the image point adjustment model on the initial photograph and other photographs on the station is similar to that shown above.
7. The vision measurement adjustment method based on the large-scale constraint between the measuring station and the control point as claimed in claim 6, characterized in that the 6 exterior orientation elements of different photos of the same measuring station have the same position pose but different angle poses.
8. The vision measurement adjustment method based on the additional large-scale constraint between the observation station and the control point according to claim 1, characterized in that, before step S10, the measuring instrument is installed on the instrument support through a triangular base and is leveled.
9. The vision measurement adjustment method based on the additional large-scale constraint between the measuring station and the control point according to claim 8, characterized in that the position of the instrument holder is kept unchanged in step S40.
10. The vision measurement adjustment method based on the additional large-scale constraint between the observation station and the control point according to claim 1, characterized in that the measuring instrument comprises a distance measuring module, a vision measuring module, a vertical turntable and a horizontal turntable, wherein the vertical turntable is rotatably connected with the horizontal turntable; the vision measuring module is rotationally connected with the vertical rotary table; the distance measuring module is connected with the vision measuring module.
CN202111407992.6A 2021-11-24 2021-11-24 Visual measurement adjustment method based on additional large-scale constraint between measuring station and control point Active CN114046779B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111407992.6A CN114046779B (en) 2021-11-24 2021-11-24 Visual measurement adjustment method based on additional large-scale constraint between measuring station and control point

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111407992.6A CN114046779B (en) 2021-11-24 2021-11-24 Visual measurement adjustment method based on additional large-scale constraint between measuring station and control point

Publications (2)

Publication Number Publication Date
CN114046779A true CN114046779A (en) 2022-02-15
CN114046779B CN114046779B (en) 2023-10-03

Family

ID=80210706

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111407992.6A Active CN114046779B (en) 2021-11-24 2021-11-24 Visual measurement adjustment method based on additional large-scale constraint between measuring station and control point

Country Status (1)

Country Link
CN (1) CN114046779B (en)

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1963390A (en) * 2005-11-08 2007-05-16 李啸炜 A precision and high efficiency three-dimensional measuring method
CN102305598A (en) * 2011-05-09 2012-01-04 中国人民解放军信息工程大学 Underwater photography measurement method for profile accuracy of semi-rigid self-resilience reflector
CN103822615A (en) * 2014-02-25 2014-05-28 北京航空航天大学 Unmanned aerial vehicle ground target real-time positioning method with automatic extraction and gathering of multiple control points
CN104990539A (en) * 2015-06-30 2015-10-21 武汉大学 Method and device for panoramic photography measurement based on fixed focus digital camera
CN105300362A (en) * 2015-11-13 2016-02-03 上海华测导航技术股份有限公司 Photogrammetry method used for RTK receivers
CN106980598A (en) * 2017-04-11 2017-07-25 中铁第勘察设计院集团有限公司 The tight method of three-dimensional adjustment of voluntary intake corner intersection net
CN107063191A (en) * 2017-03-17 2017-08-18 东南大学 A kind of method of the overall relative orientation of photogrammetric regional network
CN108050928A (en) * 2017-09-05 2018-05-18 东莞中子科学中心 A kind of vision measurer and a kind of vision measuring method
CN108692710A (en) * 2018-05-22 2018-10-23 任成冕 A kind of highway ancestral land measurement method and system
CN109974707A (en) * 2019-03-19 2019-07-05 重庆邮电大学 A kind of indoor mobile robot vision navigation method based on improvement cloud matching algorithm
CN110243347A (en) * 2019-06-25 2019-09-17 西华师范大学 A kind of erosion groove monitoring method based on close-range photogrammetry
CN110398208A (en) * 2019-07-23 2019-11-01 四川建筑职业技术学院 Big data deformation monitoring method based on photographic measuring apparatus system
CN110779498A (en) * 2019-09-19 2020-02-11 中国科学院测量与地球物理研究所 Shallow river water depth mapping method and system based on unmanned aerial vehicle multi-viewpoint photography
CN113324528A (en) * 2021-05-18 2021-08-31 武汉大学 Close-range photogrammetry target positioning method and system with known camera station position

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1963390A (en) * 2005-11-08 2007-05-16 李啸炜 A precision and high efficiency three-dimensional measuring method
CN102305598A (en) * 2011-05-09 2012-01-04 中国人民解放军信息工程大学 Underwater photography measurement method for profile accuracy of semi-rigid self-resilience reflector
CN103822615A (en) * 2014-02-25 2014-05-28 北京航空航天大学 Unmanned aerial vehicle ground target real-time positioning method with automatic extraction and gathering of multiple control points
CN104990539A (en) * 2015-06-30 2015-10-21 武汉大学 Method and device for panoramic photography measurement based on fixed focus digital camera
CN105300362A (en) * 2015-11-13 2016-02-03 上海华测导航技术股份有限公司 Photogrammetry method used for RTK receivers
CN107063191A (en) * 2017-03-17 2017-08-18 东南大学 A kind of method of the overall relative orientation of photogrammetric regional network
CN106980598A (en) * 2017-04-11 2017-07-25 中铁第勘察设计院集团有限公司 The tight method of three-dimensional adjustment of voluntary intake corner intersection net
CN108050928A (en) * 2017-09-05 2018-05-18 东莞中子科学中心 A kind of vision measurer and a kind of vision measuring method
CN108692710A (en) * 2018-05-22 2018-10-23 任成冕 A kind of highway ancestral land measurement method and system
CN109974707A (en) * 2019-03-19 2019-07-05 重庆邮电大学 A kind of indoor mobile robot vision navigation method based on improvement cloud matching algorithm
CN110243347A (en) * 2019-06-25 2019-09-17 西华师范大学 A kind of erosion groove monitoring method based on close-range photogrammetry
CN110398208A (en) * 2019-07-23 2019-11-01 四川建筑职业技术学院 Big data deformation monitoring method based on photographic measuring apparatus system
CN110779498A (en) * 2019-09-19 2020-02-11 中国科学院测量与地球物理研究所 Shallow river water depth mapping method and system based on unmanned aerial vehicle multi-viewpoint photography
CN113324528A (en) * 2021-05-18 2021-08-31 武汉大学 Close-range photogrammetry target positioning method and system with known camera station position

Also Published As

Publication number Publication date
CN114046779B (en) 2023-10-03

Similar Documents

Publication Publication Date Title
CN110057295B (en) Monocular vision plane distance measuring method without image control
CN107492069B (en) Image fusion method based on multi-lens sensor
CN106097300A (en) A kind of polyphaser scaling method based on high-precision motion platform
CN110345925B (en) Quality detection and air-to-air processing method for five-eye aerial photo
CN103557841A (en) Method for improving photogrammetric precision of multi-camera resultant image
CN110736447B (en) Vertical-direction horizontal position calibration method for integrated image acquisition equipment
WO2018201677A1 (en) Bundle adjustment-based calibration method and device for telecentric lens-containing three-dimensional imaging system
CN111091076B (en) Tunnel limit data measuring method based on stereoscopic vision
CN110806199A (en) Terrain measurement method and system based on laser demarcation device and unmanned aerial vehicle
CN109900205B (en) High-precision single-line laser and optical camera rapid calibration method
CN112629431A (en) Civil structure deformation monitoring method and related equipment
CN109472778B (en) Appearance detection method for towering structure based on unmanned aerial vehicle
CN112611361A (en) Method for measuring installation error of camera of airborne surveying and mapping pod of unmanned aerial vehicle
CN110044266B (en) Photogrammetry system based on speckle projection
CN108955642B (en) Large-breadth equivalent center projection image seamless splicing method
CN110986888A (en) Aerial photography integrated method
CN102519484B (en) Multi-disc overall adjustment calibration method of rotary photogrammetry system
CN111561867A (en) Airplane surface appearance digital measurement method
CN114046779B (en) Visual measurement adjustment method based on additional large-scale constraint between measuring station and control point
KR100952136B1 (en) Method for correcting position and dircction elements of camera, and method for 3d-structure measurement using single oblique photograph
CN116824079A (en) Three-dimensional entity model construction method and device based on full-information photogrammetry
KR102476569B1 (en) Image processing system for automatically checking and updating error point of image
JP2974316B1 (en) Method for restoring two-dimensional position information of local coordinates from bird's-eye view photograph, system for restoring the two-dimensional position information, and computer-readable recording medium recording a program of the method
WO2022126339A1 (en) Method for monitoring deformation of civil structure, and related device
CN115564845A (en) Regional binocular camera calibration method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant