CN102519484A - Multi-disc overall adjustment calibration method of rotary photogrammetry system - Google Patents
Multi-disc overall adjustment calibration method of rotary photogrammetry system Download PDFInfo
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Abstract
The invention discloses a multi-disc overall adjustment calibration method of a rotary photogrammetry system. In the method, a single observation station obtains the external orientation elements of multiple images and the horizontal and vertical angles of a rotation platform so as to perform calibration of the rotary photogrammetry system; and then on the premise that other observation stations get the external orientation element of the first image, the external orientation elements of other images can be reversely deduced at high precision according to the calibration result and the horizontal and vertical rotation angles of the rotation platform. The method disclosed by the invention has the advantages that: a single observation station obtains the external orientation elements of the multiple images and the horizontal and vertical rotation angles of the rotation platform; through multi-disc overall adjustment solution, the calibration method can realize high-precision calibration of the rotary photogrammetry system; and on the premise that other observation stations get the external orientation element of the first image, the external orientation elements of the images can be automatically solved at high precision by simply providing the horizontal and vertical rotation angles of the rotation platform when other images are imaged.
Description
Technical field
The present invention relates to the photogrammetric technology field, especially relate to a kind of rotation Digital Photogrammetric System multi-disc overall adjustment scaling method.
Background technology
The rotation Digital Photogrammetric System is that camera is placed on the platform of can be vertically and horizontally rotating, and is rotated photogrammetric system, is widely used in obtaining of three-dimensional information in close-range photogrammetry and the computer vision field.As shown in Figure 1; At the intersection point
with feathering axis
and vertical rotating shaft
is in the rectangular coordinate system in space
at center;
and
is respectively principal point
and puts at
axle with respect to
; The side-play amount of
axle axle with
,
is the photography focal length.Wherein when the rotation platform of system during around transverse axis
and Z-axis
rotation, the elements of exterior orientation of camera
also can change thereupon.For obtain the elements of exterior orientation of camera automatically according to vertical rotation angle
and feathering angle
; Need high-precision system calibrating, confirm rotation matrix and the eccentric coordinate of internal system camera with respect to rotation platform.The demarcation of many rotation Digital Photogrammetric System is the committed steps that from two-dimensional image, obtain this process of three-dimensional information, is an important research project.
Existing camera calibration method is broadly divided into three types: traditional scaling method, mark standardization method and based on the scaling method of active vision certainly.The tradition scaling method utilizes the known object of geomery as demarcating thing, takes the corresponding relation that some width of cloth images resolve picture side and object space with video camera; Self-calibrating method need not demarcated thing, but needs to demarcate through the relation of match point in the captured demarcation picture of motion cameras; And need foresee the detailed movement information of video camera based on the scaling method of active vision, and this needs expensive equipment that the movement locus of video camera is carried out record, and experimentation cost is higher.
Summary of the invention
The present invention solves existing in prior technology the problems referred to above, and a kind of level of utilizing single survey station to obtain the elements of exterior orientation of many images and rotation platform, vertical swing angle are provided, and is rotated Digital Photogrammetric System and demarcates the method for handling.
Technical scheme of the present invention is a kind of rotation Digital Photogrammetric System multi-disc overall adjustment scaling method, may further comprise the steps:
Step 1; Import image number
, the foreign side's parallactic angle element when each image obtains
and outer orientation line element
that first survey station obtains, rotation platform around the horizontal angle
of vertical rotating shaft and rotation platform vertical angle
around feathering axis; Wherein subscript 1 sign is surveyed station number
=1; Subscript
expression image number;
, image number
is more than or equal to 3; According to
corner system constructing rotation matrix
, make up the coordinates matrix
of line element by foreign side's parallactic angle element
by outer orientation line element
;
Wherein,
is camera foreign side parallactic angle element rotation matrix under
corner system under the object coordinates system;
is the rotation matrix between object coordinates system and standard photogrammetric coordinate system;
is the rotation matrix between standard photographic coordinate system and rotating coordinate system;
is the rotation matrix between rotating coordinate system and image space coordinate system;
First three image according to first survey station obtains is distinguished corresponding rotating model
; Resolve the corner
of rotation matrix
under corresponding
the corner system of first survey station and the corner
of rotation matrix
; And resolve the initial value of result as unknown number with gained; Wherein, Subscript 1 sign is surveyed station number
=1; Subscript
expression image number;
,
are the rotation matrix that step 1 makes up;
Step 3; Rotating model is converted into error equation; With corner
and corner
is unknown number; All images that first survey station is obtained carry out linearization process one by one; Initial value according to unknown number makes up normal equation according to the principle of least square; Overall adjustment solving method equation obtains the unknown number correction;
Step 4, if unknown number correction maximal value surpasses preset iterations threshold value less than preset unknown number correction threshold value or iterations, then execution in step 5; Otherwise the initial value so that current unknown number correction is a unknown number returns iteration execution in step 3;
Step 5; Export the unknown number correction that obtains in the last iteration; Calibration result as corner
and corner
; Again set up rotation matrix
according to the calibration result of corner
, follow according to the calibration result of corner
and set up rotation matrix
again;
Step 6 makes up the eccentric model of camera with respect to object coordinates system, and eccentric model formation is following
Wherein
is the coordinates matrix of camera outer orientation line element under the object coordinates system;
is the coordinate of image space coordinate system initial point under rotating coordinate system;
is the coordinates matrix of rotation center under object coordinates system;
According to the eccentric model
of camera with respect to object coordinates system; The image that obtains according to first survey station makes up error equation and normal equation one by one; According to the principle of least square; Overall adjustment is resolved coordinate
and rotation center the coordinate
under object coordinates system of image space coordinate system initial point under rotating coordinate system; Output coordinate
resolve the result; Wherein, Subscript 1 sign is surveyed station number
=1; Subscript
expression image number;
;
is the coordinates matrix that step 1 makes up, and
is the rotation matrix that step 5 is set up again;
Step 7; Again rotation matrix of setting up according to step 5
and the coordinate
of step 6 gained image space coordinate system initial point under rotating coordinate system resolve result, the foreign side's parallactic angle element
when known first image of all the other survey stations obtains and outer orientation line element
, rotation platform around the horizontal angle
of vertical rotating shaft with around the vertical angle
of feathering axis; Again resolve under all the other survey station conditions rotation matrix
between object coordinates system and standard photogrammetric coordinate system and the rotation center coordinate
under object coordinates system through rotating model and eccentric model; Wherein station number is surveyed in subscript
expression;
, subscript 1 expression image number
=1;
Step 8; Rotation platform is around the horizontal angle
of vertical rotating shaft with around the vertical angle
of feathering axis when obtaining according to other images beyond first of all the other known survey station; Foreign side's parallactic angle element
and outer orientation line element
when resolving through rotating model and eccentric model that other images obtain beyond first of all the other survey station; Wherein station number is surveyed in subscript
expression;
; Subscript
expression image number,
.
Moreover, according to the first station to obtain an image corresponding to the first three rotation model
,
, solver
corner system rotation matrix
corner
and the rotation matrix
corner
,? specific implementation in the following manner,
Wherein,
is that the 1st
that survey station obtains opens corresponding standard photographic coordinate system of image and the rotation matrix between rotating coordinate system,
;
Eliminate wherein one group of unknown number, obtain
Wherein,
Making the element in the lower right corner in the rotation matrix
is 1; All the other eight elements are as unknown number
in
matrix, and one group of unknown number gained two formula expands into nine equations about these eight unknown numbers respectively with eliminating wherein; Make up the factor arrays
and the constant term
of normal equation according to the principle of least square; Resolve the value of the first eight element in the rotation matrix
, the formula of normal equation is following
Gained rotation matrix
resolves rotation matrix
according to resolving as a result, resolves the corner
of rotation matrix
under
corner system and the corner
of rotation matrix
according to the relation of
corner system then.
And step 3 concrete operation method is following,
It is following that rotating model is converted into the error equation form,
Wherein, The residual error of
expression error equation; Unknown number is three corners
of rotation matrix
under
corner system; And three corners
of rotation matrix
;
;
;
;
,
and
is respectively the error matrix equation according to above-mentioned six partial derivatives that unknown number is found the solution successively;
is the constant term of error equation;
Error equation is asked local derviation successively according to these six unknown numbers and is listed successively, obtains the citation form of nine error equations, lists error equation for all images that the 1st survey station obtains by this; Subscript 1 sign is surveyed station number
=1; Subscript
expression image number,
;
Initial value according to unknown number; Make up the factor arrays
and the constant term
of normal equation according to the principle of least square; The formula of normal equation is following
Unknown number matrix
is according to the correction of six unknown numbers of solution of normal equation.
And it is following that the image that step 6 is obtained according to first survey station makes up the concrete operation method of error equation and normal equation one by one,
It is following that eccentric model is converted into equation form
Wherein
is unit matrix;
is the corresponding object coordinates system of the individual image of the 1st survey station
coordinate of camera outer orientation line element down;
is the coordinate of the corresponding rotation center of the 1st survey station under object coordinates system; Station number
=1 is surveyed in subscript 1 expression; Subscript
expression image number,
; All images for the 1st survey station obtains are all listed above-mentioned equation
Make up normal equation factor arrays
and constant term
according to the principle of least square, the formula of normal equation does
Unknown number matrix
is calculated the image space coordinate system initial point at coordinate under the rotating coordinate system
and the coordinate
of rotation center under object coordinates system according to the normal equation global solution.
And step 7 concrete operation method is following,
According to the known remaining stations when the first image for the outer azimuth elements
and the outer bearing line elements
, rotating platform around the vertical axis of rotation of the horizontal angle
, and the vertical axis of rotation around the horizontal angle
,
By foreign side's parallactic angle element
basis
corner system constructing rotation matrix
; By the coordinates matrix
of outer orientation line element
structure line element, make up rotation matrix
by horizontal angle
, vertical angle
;
Resolve spin matrix
in the spin matrix that step 5 is set up again
the substitution rotating model then
The rotation matrix
, the rotation matrix
, and proceeds to Step 6 coordinate
solvers result into eccentric model solver coordinate matrix
Wherein station number is surveyed in subscript
expression;
, subscript 1 expression image number
=1.
And step 8 concrete operation method is following,
Rotation platform is around the horizontal angle
of vertical rotating shaft with around the vertical angle
of feathering axis when obtaining according to other images beyond first of all the other survey station; Make up rotation matrix
; And the foreign side's parallactic angle element rotation matrix
under
corner system when resolving image in rotation matrix
the substitution rotating model that step 7 gained rotation matrix
and step 5 are set up again and obtaining; And further decompositing foreign side's parallactic angle element
according to
corner system, solution formula is following
The coordinates matrix
of the outer orientation line element when resolving of rotation matrix
, rotation matrix
, step 6 gained coordinate
resolved image in result and the eccentric model of coordinates matrix
substitution and obtained; And further decompositing outer orientation line element
, solution formula is following
The present invention utilizes single survey station to obtain the level of the elements of exterior orientation of many images and rotation platform, vertical swing angle, resolves through the multi-disc overall adjustment, and this scaling method can realize rotating the high-precision automatic positioning and directing of Digital Photogrammetric System; Under the prerequisite of known first the image elements of exterior orientation of other survey stations, the level of rotation platform, vertical swing angle in the time of only other video imagings need being provided just can the high-precision anti-elements of exterior orientation that pushes away this image automatically.
Description of drawings
Fig. 1 is the structural drawing of rotation sweep camera chain;
Fig. 2 is the geometric relationship synoptic diagram that the present invention relates between coordinate system;
Fig. 3 demarcates the process flow diagram of rotation and eccentric matrix for the embodiment of the invention;
Fig. 4 resolves the process flow diagram of elements of exterior orientation according to calibration result for the embodiment of the invention.
Embodiment
Specify technical scheme of the present invention below in conjunction with accompanying drawing and embodiment.
Referring to Fig. 2, wherein
is the coordinate of intersection point among Fig. 1
under object coordinates system
;
is system at the standard photographic coordinate system of camera standard under the object position; Wherein X is a course-and-bearing; Y is a zenith direction, and Z is a depth direction;
is the rotating coordinate system of system behind horizontal rotational shaft V angle and Z-axis rotation H angle; Same meaning among
and
and Fig. 1; Be respectively principal point
and put at
axle with respect to
, the side-play amount of
axle axle with
.
The embodiment of the invention is set up following two models:
Camera with respect to the rotating model of object coordinates system based on following formula:
Wherein
is camera foreign side parallactic angle element rotation matrix under
corner system under the object coordinates system, and its expansion form is:
is the rotation matrix between object coordinates system and standard photogrammetric coordinate system, and its expansion is the same:
Wherein,
is the corner of rotation matrix
under
corner system.For many images that a certain fixedly survey station obtains, the value of this rotation matrix
is constant.
is the rotation matrix between standard photographic coordinate system and rotating coordinate system, and its expansion form is:
matrix by the rotation around the vertical axis of rotation of the platform horizontal
and rotate around a horizontal axis of rotation of the platform vertical angle
build.For every image, this matrix changes with the variation of rotation attitude.
is the rotation matrix between rotating coordinate system and image space coordinate system, and this matrix is still according to
corner system constructing.The internal system parameter of this matrix for needing to demarcate, for all images that all survey stations obtain, this matrix all remains unchanged.
Camera with respect to the eccentric model of object coordinates system based on following formula:
Wherein
is the coordinates matrix of camera outer orientation line element
under the object coordinates system.
is the coordinate of image space coordinate system initial point under rotating coordinate system; This coordinate by rotation matrix in standard under the position; The photo centre of camera is apart from the distance decision of level and vertical rotating shaft; Wherein coordinate
is the internal system parameter that need demarcation at value
, the coordinate
of Y axle in the value
of Z axle at value
, the coordinate
of X axle; For all images that all survey stations obtain, this matrix all remains unchanged.
; Be the coordinates matrix of rotation center
under object coordinates system; For many images that a certain fixedly survey station obtains, the value of this rotation matrix is constant.
Can adopt computer software technology to realize automatically performing flow process during practical implementation of the present invention.Introduce the rotation Digital Photogrammetric System multi-disc overall adjustment of the embodiment of the invention below and demarcate flow process, based on rotating model and the eccentric model of camera with respect to object coordinates system, each step explanation as follows.Can be referring to Fig. 3 and Fig. 4, wherein Fig. 3 provides the flow process of demarcating rotation and eccentric matrix, i.e. step 1~6; Fig. 4 provides the flow process of resolving elements of exterior orientation according to calibration result, i.e. step 7,8.
Step 1; Import image number
(at least three), the elements of exterior orientation when each image obtains (comprising foreign side's parallactic angle element
and outer orientation line element
) that first survey station obtains, rotation platform around the horizontal angle
of vertical rotating shaft and rotation platform vertical angle
around feathering axis; Wherein subscript 1 sign is surveyed station number
=1; Subscript
expression image number,
; According to
corner system constructing rotation matrix
, make up the coordinates matrix
of line element by foreign side's parallactic angle element
by outer orientation line element
.
Wherein,
is camera foreign side parallactic angle element rotation matrix under
corner system under the object coordinates system;
is the rotation matrix between object coordinates system and standard photogrammetric coordinate system;
is the rotation matrix between standard photographic coordinate system and rotating coordinate system, makes up according to said horizontal angle of step 1
and vertical angle
;
is the rotation matrix between rotating coordinate system and image space coordinate system;
First three image according to first survey station obtains is distinguished corresponding rotating model
; Resolve the corner
of rotation matrix
under corresponding
the corner system of first survey station and the corner
of rotation matrix
; And resolve the initial value of result as unknown number with gained; Wherein, Subscript 1 sign is surveyed station number
=1; Subscript
expression image number;
,
are the rotation matrix that step 1 makes up.
Embodiment According to the first an measured stations Gets of the former three image respectively correspond to by the Rotary model
,
, Xie count
corner System under the rotation matrix
's corner
and the rotation matrix
's corner
,? concrete realization the following manner,
The 1st the corresponding rotating model of image is
Wherein,
is that the 1st
that survey station obtains opens corresponding standard photographic coordinate system of image and the rotation matrix between rotating coordinate system;
, the rotation platform that imports according to step 1 gets final product around vertical angle
structure of feathering axis around the horizontal angle
and the rotation platform of vertical rotating shaft;
Wherein,
The result of calculation of
is one 3 * 3 matrix, totally 9 elements.Making the element in the lower right corner in the rotation matrix
is 1; All the other eight elements are as unknown number
in
matrix, and one group of unknown number gained two formula expands into nine equations about these eight unknown numbers respectively with eliminating wherein; Make up the factor arrays
and the constant term
of normal equation according to the principle of least square; Resolve the value of the first eight element in the rotation matrix
, the formula of normal equation is following:
Gained rotation matrix
resolves rotation matrix
according to resolving as a result; Concrete mode is: rearrange
matrix; Calculate the value of its determinant, and with the cubic root of elements all in the matrix divided by determinant.Can be normalized to the form of rotation matrix.After obtaining
matrix; In the rotating model
that can first image of its substitution is corresponding, resolve the value of
matrix.
Then follow
corner relations system solver
corner system rotation matrix
corner
and the rotation matrix
corner
.
Step 3; Rotating model is converted into error equation; With corner
and corner
is unknown number; All images that first survey station is obtained carry out linearization process one by one; Initial value according to unknown number makes up normal equation according to the principle of least square; Overall adjustment solving method equation obtains the unknown number correction.
It is following that embodiment is converted into the error equation form with rotating model,
Wherein, The residual error of
expression error equation; Unknown number is three corners
of rotation matrix
under
corner system, and three corners
of rotation matrix
;
;
;
;
,
and
is respectively the error matrix equation according to above-mentioned six partial derivatives that unknown number is found the solution successively;
is the constant term of error equation.
Matrix in the above-mentioned error equation be 3
3 matrixes; Can extract the item of all matrix correspondence positions thus; Obtain the citation form of nine error equations, find the solution convenient like this.During practical implementation,, get the item of all the 1st positions of matrix the 1st row, obtain the citation form of an error equation according to error equation ... The rest may be inferred.All images for the 1st survey station obtains are listed error equation by this; Subscript 1 sign is surveyed station number
=1; Subscript
expression image number,
.The rotation angle of
in the step 2 and
is resolved the initial value of result as unknown number in the iteration adjustment, make up the factor arrays
and the constant term
of normal equation according to the principle of least square.
The formula of normal equation is following,
Correction according to six unknown numbers of solution of normal equation.
Step 4, if unknown number correction maximal value surpasses preset iterations threshold value less than preset unknown number correction threshold value or iterations, then execution in step 5; Otherwise the initial value so that current unknown number correction is a unknown number returns iteration execution in step 3.
During practical implementation, unknown number correction threshold value and iterations threshold value can be set up by those skilled in the art as the case may be voluntarily.If unknown number correction maximal value surpasses any decision condition of iterations threshold value less than unknown number correction threshold value or iterations, then execution in step 5; Otherwise, return execution in step 3.
Step 5; Export the unknown number correction that obtains in the last iteration; Calibration result as corner
and corner
; Again set up rotation matrix
according to the calibration result of corner
, follow according to the calibration result of corner
and set up rotation matrix
again.
Step 6 makes up the eccentric model of camera with respect to object coordinates system, and eccentric model formation is following
Wherein
is the coordinates matrix of camera outer orientation line element under the object coordinates system;
is the coordinate of image space coordinate system initial point under rotating coordinate system;
is the coordinates matrix of rotation center under object coordinates system;
According to the eccentric model
of camera with respect to object coordinates system; The image that obtains according to first survey station makes up error equation and normal equation one by one; According to the principle of least square; Overall adjustment is resolved coordinate
and rotation center the coordinate
under object coordinates system of image space coordinate system initial point under rotating coordinate system; Output coordinate
resolve the result; Wherein, Subscript 1 sign is surveyed station number
=1; Subscript
expression image number;
;
is the coordinates matrix that step 1 makes up, and
is the rotation matrix that step 5 is set up again.
It is following that embodiment is converted into equation form with eccentric model
Wherein
is unit matrix;
is the corresponding object coordinates system of the individual image of the 1st survey station
coordinate of camera outer orientation line element down;
is the coordinate of the corresponding rotation center of the 1st survey station under object coordinates system; Station number
=1 is surveyed in subscript 1 expression; Subscript
expression image number,
; All images for the 1st survey station obtains are all listed above-mentioned equation.
Make up normal equation factor arrays
and constant term
according to the principle of least square, the formula of normal equation does
Unknown number matrix
is calculated the image space coordinate system initial point at coordinate under the rotating coordinate system
and the coordinate
of rotation center under object coordinates system according to the normal equation global solution.
Step 7; Again rotation matrix of setting up according to step 5
and the coordinate
of step 6 gained image space coordinate system initial point under rotating coordinate system resolve result, the elements of exterior orientation (foreign side's parallactic angle element
and outer orientation line element
) when known first image of all the other survey stations obtains, rotation platform around the horizontal angle
of vertical rotating shaft with around the vertical angle
of feathering axis; Again resolve under all the other survey station conditions rotation matrix
between object coordinates system and standard photogrammetric coordinate system and the rotation center coordinate
under object coordinates system through rotating model and eccentric model; Wherein station number is surveyed in subscript
expression;
, subscript 1 expression image number
=1.
Example import the rest of the known stations when the first image for the outer azimuth elements
and the outer bearing line elements
, rotating platform around the vertical axis of rotation of the horizontal angle
, and the vertical axis of rotation around the horizontal angle
,
By foreign side's parallactic angle element
basis
corner system constructing rotation matrix
; By the coordinates matrix
of outer orientation line element
structure line element, make up rotation matrix
by horizontal angle
, vertical angle
;
Resolve spin matrix
in the spin matrix that step 5 is set up again
the substitution rotating model then
Will rotation matrix
, rotation matrix
as well as to Step 6 the proceeds coordinates of
's solver results of substituted into the eccentric the model solver coordinates of matrix
Wherein station number is surveyed in subscript
expression;
, subscript 1 expression image number
=1.
Step 8; Rotation platform is around the horizontal angle
of vertical rotating shaft with around the vertical angle
of feathering axis when obtaining according to other images beyond first of all the other known survey station; Foreign side's parallactic angle element
and outer orientation line element
when resolving through rotating model and eccentric model that other images obtain beyond first of all the other survey station; Wherein station number is surveyed in subscript
expression;
; Subscript
expression image number,
.
Rotation platform was around the horizontal angle
of vertical rotating shaft with around the vertical angle
of feathering axis when embodiment obtained according to other images beyond first of all the other survey station; Make up rotation matrix
; And the foreign side's parallactic angle element rotation matrix
under
corner system when resolving image in rotation matrix
the substitution rotating model that step 7 gained rotation matrix
and step 5 are set up again and obtaining; And further decompositing foreign side's parallactic angle element
according to
corner system, solution formula is following
The coordinates matrix
of the outer orientation line element when resolving of rotation matrix
, rotation matrix
, step 6 gained coordinate
resolved image in result and the eccentric model of coordinates matrix
substitution and obtained; And further decompositing outer orientation line element
, solution formula is following
Wherein station number is surveyed in subscript
expression;
; The maximum occurrences of
is the actual station total number of taking the photograph; Subscript
expression image number;
, the maximum occurrences of
is the actual corresponding station image total number of taking the photograph.
Specific embodiment described herein only is that the present invention's spirit is illustrated.Person of ordinary skill in the field of the present invention can make various modifications or replenishes or adopt similar mode to substitute described specific embodiment, but can't depart from spirit of the present invention or surmount the defined scope of appended claims.
Claims (6)
1. a rotation Digital Photogrammetric System multi-disc overall adjustment scaling method is characterized in that, may further comprise the steps:
Step 1; Import image number
, the foreign side's parallactic angle element when each image obtains
and outer orientation line element
that first survey station obtains, rotation platform around the horizontal angle
of vertical rotating shaft and rotation platform vertical angle
around feathering axis; Wherein subscript 1 sign is surveyed station number
=1; Subscript
expression image number;
, image number
is more than or equal to 3; According to
corner system constructing rotation matrix
, make up the coordinates matrix
of line element by foreign side's parallactic angle element
by outer orientation line element
;
Step 2 makes up the rotating model of camera with respect to object coordinates system, and the rotating model formula is following
Wherein,
is camera foreign side parallactic angle element rotation matrix under
corner system under the object coordinates system;
is the rotation matrix between object coordinates system and standard photogrammetric coordinate system;
is the rotation matrix between standard photographic coordinate system and rotating coordinate system;
is the rotation matrix between rotating coordinate system and image space coordinate system;
First three image according to first survey station obtains is distinguished corresponding rotating model
; Resolve the corner
of rotation matrix
under corresponding
the corner system of first survey station and the corner
of rotation matrix
; And resolve the initial value of result as unknown number with gained; Wherein, Subscript 1 sign is surveyed station number
=1; Subscript
expression image number;
,
are the rotation matrix that step 1 makes up;
Step 3; Rotating model is converted into error equation; With corner
and corner
is unknown number; All images that first survey station is obtained carry out linearization process one by one; Initial value according to unknown number makes up normal equation according to the principle of least square; Overall adjustment solving method equation obtains the unknown number correction;
Step 4, if unknown number correction maximal value surpasses preset iterations threshold value less than preset unknown number correction threshold value or iterations, then execution in step 5; Otherwise the initial value so that current unknown number correction is a unknown number returns iteration execution in step 3;
Step 5; Export the unknown number correction that obtains in the last iteration; Calibration result as corner
and corner
; Again set up rotation matrix
according to the calibration result of corner
, follow according to the calibration result of corner
and set up rotation matrix
again;
Step 6 makes up the eccentric model of camera with respect to object coordinates system, and eccentric model formation is following
Wherein
is the coordinates matrix of camera outer orientation line element under the object coordinates system;
is the coordinate of image space coordinate system initial point under rotating coordinate system;
is the coordinates matrix of rotation center under object coordinates system;
According to the eccentric model
of camera with respect to object coordinates system; The image that obtains according to first survey station makes up error equation and normal equation one by one; According to the principle of least square; Overall adjustment is resolved coordinate
and rotation center the coordinate
under object coordinates system of image space coordinate system initial point under rotating coordinate system; Output coordinate
resolve the result; Wherein, Subscript 1 sign is surveyed station number
=1; Subscript
expression image number;
;
is the coordinates matrix that step 1 makes up, and
is the rotation matrix that step 5 is set up again;
Step 7; Again rotation matrix of setting up according to step 5
and the coordinate
of step 6 gained image space coordinate system initial point under rotating coordinate system resolve result, the foreign side's parallactic angle element
when known first image of all the other survey stations obtains and outer orientation line element
, rotation platform around the horizontal angle
of vertical rotating shaft with around the vertical angle
of feathering axis; Again resolve under all the other survey station conditions rotation matrix
between object coordinates system and standard photogrammetric coordinate system and the rotation center coordinate
under object coordinates system through rotating model and eccentric model; Wherein station number is surveyed in subscript
expression;
, subscript 1 expression image number
=1;
Step 8; Rotation platform is around the horizontal angle
of vertical rotating shaft with around the vertical angle
of feathering axis when obtaining according to other images beyond first of all the other known survey station; Foreign side's parallactic angle element
and outer orientation line element
when resolving through rotating model and eccentric model that other images obtain beyond first of all the other survey station; Wherein station number is surveyed in subscript
expression;
; Subscript
expression image number,
.
(2) as claimed in claim 1, wherein said rotating multi-chip integrated photogrammetric adjustment system calibration method characterized in that: according to the first stations in the acquired image corresponding to each of the first three rotating the model
,
solver
corner system rotation matrix
corner
and the rotation matrix
corner
,? specific implementation in the following manner,
The 1st the corresponding rotating model of image is
Wherein,
is that the 1st
that survey station obtains opens corresponding standard photographic coordinate system of image and the rotation matrix between rotating coordinate system,
;
Eliminate wherein one group of unknown number, obtain
Wherein,
Making the element in the lower right corner in the rotation matrix
is 1; All the other eight elements are as unknown number
in
matrix, and one group of unknown number gained two formula expands into nine equations about these eight unknown numbers respectively with eliminating wherein; Make up the factor arrays
and the constant term
of normal equation according to the principle of least square; Resolve the value of the first eight element in the rotation matrix
, the formula of normal equation is following
3. according to the said rotation Digital Photogrammetric System of claim 1 multi-disc overall adjustment scaling method, it is characterized in that: step 3 concrete operation method is following,
It is following that rotating model is converted into the error equation form,
Wherein, The residual error of
expression error equation; Unknown number is three corners
of rotation matrix
under
corner system; And three corners
of rotation matrix
;
;
;
;
,
and
is respectively the error matrix equation according to above-mentioned six partial derivatives that unknown number is found the solution successively;
is the constant term of error equation;
Error equation is asked local derviation successively according to these six unknown numbers and is listed successively, obtains the citation form of nine error equations, lists error equation for all images that the 1st survey station obtains by this; Subscript 1 sign is surveyed station number
=1; Subscript
expression image number,
;
Initial value according to unknown number; Make up the factor arrays
and the constant term
of normal equation according to the principle of least square; The formula of normal equation is following
4. according to claim 1 or 2 or 3 said rotation Digital Photogrammetric System multi-disc overall adjustment scaling methods, it is characterized in that: it is following that the image that step 6 is obtained according to first survey station makes up the concrete operation method of error equation and normal equation one by one,
It is following that eccentric model is converted into the error equation form
Wherein
is unit matrix;
is the corresponding object coordinates system of the individual image of the 1st survey station
coordinate of camera outer orientation line element down;
is the coordinate of the corresponding rotation center of the 1st survey station under object coordinates system; Station number
=1 is surveyed in subscript 1 expression; Subscript
expression image number,
; All images for the 1st survey station obtains are all listed above-mentioned equation,
Make up normal equation factor arrays
and constant term
according to the principle of least square, the formula of normal equation does
5. according to the said rotation Digital Photogrammetric System of claim 4 multi-disc overall adjustment scaling method, it is characterized in that: step 7 concrete operation method is following,
According to the known remaining stations when the first image for the outer azimuth elements
and the outer bearing line elements
, rotating platform around the vertical axis of rotation of the horizontal angle
and around horizontal rotation axis vertical angle
,
By foreign side's parallactic angle element
basis
corner system constructing rotation matrix
; By the coordinates matrix
of outer orientation line element
structure line element, make up rotation matrix
by horizontal angle
, vertical angle
;
Resolve spin matrix
in the spin matrix that step 5 is set up again
the substitution rotating model then
The rotation matrix
, the rotation matrix
, and proceeds to Step 6 coordinate
solvers result into eccentric model solver coordinate matrix
6. according to the said rotation Digital Photogrammetric System of claim 5 multi-disc overall adjustment scaling method, it is characterized in that: step 8 concrete operation method is following,
Rotation platform is around the horizontal angle
of vertical rotating shaft with around the vertical angle
of feathering axis when obtaining according to other images beyond first of all the other survey station; Make up rotation matrix
; And the foreign side's parallactic angle element rotation matrix
under
corner system when resolving image in rotation matrix
the substitution rotating model that step 7 gained rotation matrix
and step 5 are set up again and obtaining; And further decompositing foreign side's parallactic angle element
according to
corner system, solution formula is following
The coordinates matrix
of the outer orientation line element when resolving of rotation matrix
, rotation matrix
, step 6 gained coordinate
resolved image in result and the eccentric model of coordinates matrix
substitution and obtained; And further decompositing outer orientation line element
, solution formula is following
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CN106595602A (en) * | 2016-10-31 | 2017-04-26 | 武汉市工程科学技术研究院 | Relative orientation method based on homonymous line features |
CN106595602B (en) * | 2016-10-31 | 2019-06-25 | 武汉市工程科学技术研究院 | Relative orientation method based on homonymous line feature |
CN108303117A (en) * | 2017-01-12 | 2018-07-20 | 中国农业大学 | It is a kind of based on resection measure cloud mirror take the photograph systematic parameter measurement method and system |
CN108303117B (en) * | 2017-01-12 | 2020-06-02 | 中国农业大学 | Method and system for measuring parameters of cloud mirror camera system based on back intersection measurement |
CN107192375A (en) * | 2017-04-28 | 2017-09-22 | 北京航空航天大学 | A kind of unmanned plane multiple image adaptive location bearing calibration based on posture of taking photo by plane |
CN107192375B (en) * | 2017-04-28 | 2019-05-24 | 北京航空航天大学 | A kind of unmanned plane multiple image adaptive location bearing calibration based on posture of taking photo by plane |
CN108447100A (en) * | 2018-04-26 | 2018-08-24 | 王涛 | A kind of eccentric vector sum Collimation axis eccentricity angle scaling method of airborne TLS CCD camera |
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