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A Review on Analytical Photogrammetry

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Page 1: A Review on Analytical Photogrammetry

8/13/2019 A Review on Analytical Photogrammetry

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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

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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

Oc

 A

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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 

 X 

 Z 

 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

Page 4: A Review on Analytical Photogrammetry

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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

Page 5: A Review on Analytical Photogrammetry

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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

Page 7: A Review on Analytical Photogrammetry

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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