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8/13/2019 A Review on Analytical Photogrammetry
http://slidepdf.com/reader/full/a-review-on-analytical-photogrammetry 1/11
1M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
A Review onA Review on
Analytical PhotogrammetryAnalytical Photogrammetry
CHAPTER TWOCHAPTER TWO
Feb. 2004Feb. 2004
Photogrammetry IVPhotogrammetry IV
2M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
ContentContent
CHAPTER TWO
A Review on Analytical Photogrammetry
Mono Image
Stereo Images
Photography Planning
8/13/2019 A Review on Analytical Photogrammetry
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3M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Mono ImageMono Image
4M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Single Camera GeometrySingle Camera Geometry
• Central perspective projection
– Projection plane
– Perspective axis POp
– Principal point p
– Principal distance c
– Homologous points a and A
• Coordinate systems:
– Object coordinate systems XYZ
– Image coordinate systems xyz
X
Z
Y
z
x
y
y
p
P
a
r
Oc
A
8/13/2019 A Review on Analytical Photogrammetry
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5M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Geometric ModelGeometric Model
• X A
=XO+S
• S=-uRtxa
• xa=u-1R(XO-X A)
−
−
=
c
y
x
r r r
r r r
r r r
u
Z
Y
X
Z
Y
X
a
a
O
O
O
A
A
A
332313
322212
312111
X
Z
Y
z
x
y
a
O
A
X A
S
XO
x
y
Rt
xa
−
−
−
=
−
−
O A
O A
O A
a
a
Z Z
Y Y
X X
r r r
r r r
r r r
u
c
y
x
333231
232221
131211
1
6M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
The CoThe Co--linearity Conditionlinearity Condition
Perfect solution:
Linear solution: DLT
1
1
11109
8765
11109
4321
+++
+++=
+++
+++=
Z LY L X L
L Z LY L X L y
Z LY L X L
L Z LY L X L x
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7M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Camera CalibrationCamera Calibration
• Difference between real geometry of image
formation and ideal central perspective
projection
• The most discrepancy is lens.
• Calibration methods:
– Self calibration
– One the job calibration
– Analytical plumb-line calibration
• Fraser (1197), Digital camera self calibration, ISPRS Journal ofPhotogrammetry & Remote Sensing , 52:149-159.
8M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Lens DistortionLens Distortion
• Lens performance and stability – Gaussian and Balanced radial distortion
• Radial lens distortion: – Polynomial function of radial distance from point of
symmetry
– dr =K1r 3+K1r 5+K1r 7 – dx=dr x/r and dx=dr y/r
• Tangential lens distortion: – Misalignment of lens components => image point
displacement
– dx=P1[r 2+2x]+2P2xy
– dy=P2[r 2+2y]+2P1xy
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9M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Film DeformationFilm Deformation
• Film unfastens• Film distortion
• Reseau plate and vacuum device
• Fiducial marks
• 2D transformations – 2D conformal
– 2D affine
– 2D projective
10M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Earth CurvatureEarth Curvature
A
A’
aa’
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11M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Image ResectionImage Resection
• 3 Rotations – Physical: Euler
– Analytical: Rodrigues
• 3 Positions
• Min 3 GCP
• Methods:
– Co-linearity condition
– DLT
12M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Image RectificationImage Rectification
• In Flat area Z=aX+bY+c
• 2D projective transformation is proper!
1
1
87
654
87
321
++
++=
++
++
=
Y L X L
LY L X L y
Y L X L
LY L X L
x
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13M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Stereo ImageStereo Image
14M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
CoplanarityCoplanarity ConditionCondition
• Relative orientation
• Epipolar plane
• 5 variable 1 equation
• Min 5 stereo points
O1O2
A0
222
111
=
z y x bbb
z y x
z y x
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15M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Image IntersectionImage Intersection
• 1 Stereo point measurement = 4 equations• 3D point = 3 variable
• Solution methods:
– Resection + Intersection
– Resection/Intersection
• Model:
– DLT
– Co-linearity condition
16M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Photography PlanningPhotography Planning
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17M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Photography PlanningPhotography Planning
18M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Image ScaleImage Scale
• Topographic map scale: mi=K sqrt(mm)
– Standard equipments: K=200
– Modern equipments: K=300-350
• Forward motion compensation
• Restitution accuracy: – Planimetric
– Height :
Hg =11500sz Mi=1000Hg/f
]005.0[
][1000][
'mm
mmmm
xy
xy
i=
=σ
σ
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19M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
OverlapOverlap
D=d hg /c
20M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Side lapSide lap
The highest ground level should be considered!
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21M. Saadat Seresht M. Saadat Seresht Dept. of Surveying Engineering and GeomaticsDept. of Surveying Engineering and GeomaticsThe University of TehranThe University of Tehran
Classification of PointsClassification of Points
• According to identification – Signalized point
– Natural point
– Artificial point
• According to their use in adjustment – Control point
– Tie point
– Single point