CE 59700: Digital Photogrammetric Systems

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CE 59700: Digital Photogrammetric Systems
Spring 2015
CE 59700: Digital Photogrammetric Systems
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Ayman F. Habib
Contact Information
• Instructor:
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Ayman F. Habib
Office: HAMP 4108
Tel: (765) 496-0173
E-mail: ahabib@purdue.edu
Lectures (Seng-Liang Wang Hall 2579):
• Tuesday & Thursday (4:30 p.m. – 5:45 p.m.)
– Office Hours:
• Tuesday & Thursday (1:30 p.m. – 4:00 p.m.)
• Course webpage:
– http://purdue.edu/CE/DPRG
CE 59700: Digital Photogrammetric Systems
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Ayman F. Habib
Course Objectives
• Gain familiarity with the basic principles of
photogrammetric operations
• Emphasis:
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Definition and possible applications,
Electromagnetic radiation,
Optical principles, film development, and digital cameras,
Vertical photography,
Image coordinate measurement and reduction,
Mathematical and geometric principles,
Theory and procedures of photogrammetric orientation,
Photogrammetric geo-referencing,
Digital image matching, and
Digital orthophoto generation.
CE 59700: Digital Photogrammetric Systems
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Course Notes and Textbooks
• Material presented in class, as well as supplemental
notes, will be available through the course webpage.
– Contains all the required material for the assignments and
exams.
• Supplementary References (optional):
– Mikhail, E., Bethel, J., McGlone, J., 2001. Introduction to Modern
Photogrammetry. John Wiley & Sons, Inc.
– McGlone, C, Mikhail, E., Bethel, J., 2012, Manual of Photogrammetry, Sixth
Edition, American Society for Photogrammetry and Remote Sensing.
– Wolf, P., Dewitt, B., 2000. Elements of Photogrammetry with Applications
in GIS. McGraw-Hill.
– Krauss, K., 1993. Photogrammetry, Volume 1: Fundamentals and Standard
Processes. Dummler/Bonn.
– Krauss, K., 1997. Photogrammetry, Volume 2: Advanced Methods and
Applications. Dummler/Bonn.
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Grading Scheme
• Assignments:
(25% of Total Grade)
– Assignments will be due within roughly two weeks after
they are handed out.
– Grades for late assignments will be reduced by 10% per
day for each day overdue.
– Two assignments will require computer programming
(Mat lab, C, or C++) and submissions must include a
softcopy of the source code (well documented) and the
program output.
• Mid-Term Exam:
• Final Exam:
(25% of Total Grade)
(50% of Total Grade)
– Exams are closed book/notes
• Bonus points for class participation
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Syllabus (Course Content)
• Chapter 1: Introduction
– Definition, concepts, and applications
• Chapter 2: Electro-Magnetic Radiation
– Energy sources and radiation principles
• Chapter 3: Basic Optics
– Principles of geometric optics and important optical
conditions for photogrammetric applications
• Chapter 4: Film Development & Digital Cameras
– Development of B/W and color films
– Digital cameras (frame and line cameras)
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Ayman F. Habib
Syllabus (Course Content)
• Chapter 5: Vertical Photography
– Basic definitions, image scale, image to ground
coordinate transformation, relief displacement
• Chapter 6: Image Coordinate Measurements
– Measurements and necessary reductions of image
coordinates
• Chapter 7: The Mathematical Model
– Rotation matrices, the collinearity equations (concept
and derivation)
– Projective transformation, DLT, and RFM
• Chapter 8: Theory of Orientation
– Interior, relative, and absolute orientation
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Syllabus (Course Content)
• Chapter 9: Photogrammetric Bundle Adjustment
– Sequential reconstruction of the normal equation matrix
and derivation of the unknown parameters
• Chapter 10: Photogrammetric Geo-Referencing
– Integrated sensor orientation and direct geo-referencing
• Chapter 11: Digital Image Matching
– Identification of conjugate points in overlapping images
(cross correlation and least-squares matching)
• Chapter 12: Digital Orthophoto Generation
– Polynomial rectification, differential rectification, and
true orthophotos
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Ch 1: Introduction
• Definition & Objectives
• Applications:
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Reconnaissance
Production of Topographic Maps
DEM Generation
Close Range Photogrammetry:
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Precision survey of buildings and engineering objects
Documentation of historical buildings
Medical applications
Mapping of roads and nearby objects (mobile mapping
systems)
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Ch 1: Introduction
Art and science of tool development for automatic
generation of spatial and descriptive information from
multi-sensory data and/or systems
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Ch 2: Electro-Magnetic Radiation
• Bands of the electro-magnetic radiation:
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Radio waves
Microwaves
Infrared radiation
Visible light
Ultraviolet rays
X-rays
Gamma rays
• Properties of the electro-magnetic radiation
• Passive versus active remote sensing systems
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Ch 2: Electro-Magnetic Radiation
http://foto.hut.fi/opetus/350/k04/luento6/luento6.html
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Active Versus Passive Sensors
http://www.neis.gov.cn/kjddYG/index.jhtml
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Ch 3: Basic Optics
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Basic camera components
Reflection and refraction
Lenses: Definitions
Lens equation, aberrations, and distortions
Diffraction
Resolving power of optical systems
– Depth of focus and depth of field
– Motion blur
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Ch 3: Basic Optics
http://www.dpreview.com/reviews/sonydscf828/3
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Ch 4: Film Development & Digital Cameras
• Photographic film components
• Processing of Black and White (B/W) film
– Negative film & inverse film
• Nature of color
• Processing of color film
– Negative film & inverse film
• Digital cameras
– Frame cameras
– Line cameras (push-broom, three-line, and panoramic
scanners)
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Ch 4: Film Development & Digital Cameras
http://www.dpreview.com/reviews/sonydscf828/3
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Ch 4: Analog Cameras
Positive Film
Negative Film
http://www.beautiful-landscape.com/
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Frame Camera: Scene Acquisition
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Line Camera: Scene Acquisition
1D Images
Different PC
Image #
Scene
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Ch 5: Vertical Photography
• Image versus map characteristics
• Vertical photography: definitions and
characteristics
• Image scale
• Mathematical relationship between corresponding
image and ground coordinates
• Relief displacements
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Ch 5: Vertical Photography
http://civisit.com/blog/?p=52
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Ground Coordinates from Image Coordinates
b
c
Negative plane
a
Perspective center
x
f
y
f
Flying height (H)
a
c
b
Positive diapositive
contact print
X
Y
p
A
C
Ground
level
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Ch 6: Image Coordinate Measurements
• Image coordinate measurements in analog,
analytical, and digital environments
• Comparators: mono and stereo-comparators
• Comparator to image coordinate transformations
• Reduction/refinement of image coordinate
measurements:
– Radial and de-centering lens distortions
– Atmospheric refraction
– Earth curvature
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Ch 6: Image Coordinate Measurements
y
x
y
x
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Ch7: Mathematical Model
• Objectives: Derive the general mathematical
relationship between corresponding image and
object space coordinates
• Projection alternatives
• Rotation matrices (2-D and 3-D)
– Derivations and characteristics
• Collinearity equations
– Concept and derivation
• Projective transformation, DLT, and RFM
• Least-squares adjustment in photogrammetry
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Ch7: Mathematical Model
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8092
8686
7582
8086
8692
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Ch7: Mathematical Model
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Ch 8: Theory of Orientation
• Objective: Transform centrally projected images
into a three-dimensional model which we can use
to plot an orthogonal map
• Interior orientation
• Exterior orientation:
– Relative orientation
• X versus y-parallax
– Absolute orientation
• Aerial Triangulation: strip and block triangulation
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Ch 8: Theory of Orientation
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Ch 9: Bundle Block Adjustment
• Objective: Mathematical manipulation of the
observation equations to speed up the
– Formation of the normal equation matrix, and
– Derivation of the unknown parameters
• Special cases:
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Single photo resection,
Spatial intersection,
Relative orientation, and
Stereo-pair orientation
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Ch 9: Bundle Block Adjustment
• 2 cameras
• 4 images
• 16 points
• All the points appear in all the images.
• Two images were captured by each camera.
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Ch 9: Bundle Block Adjustment
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Ayman F. Habib
Ch 10: Photogrammetric Geo-Referencing
• Objective: Define the position and orientation of
the different images at the moment of exposure
– Exterior Orientation Parameters (EOP)
• Geo-referencing alternatives:
– Indirect geo-referencing,
– Integrated Sensor Orientation (ISO), and
– Direct geo-referencing
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Ch 10: Photogrammetric Geo-Referencing
c-frame
Rcm (t)
rcm (t)
m-frame
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Indirect Geo-Referencing
Ground Control Points
Tie Points
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Indirect Geo-Referencing
Signalized Targets
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Indirect Geo-Referencing
Natural Targets
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Direct Geo-Referencing
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Direct Geo-Referencing
IMU b-frame
GPS antenna
b
c
r
Rbm (t )
Rcb
c-frame
rbm (t )
Rcm (t)
rcm ( t )
m-frame
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Direct Geo-Referencing: Airborne System
GPS Antenna
INS
Two Base Stations
PC
Camera
GPS Receiver
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Direct Geo-Referencing: Land-Based System
Digital camera
GPS antenna
INS
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Direct Geo-Referencing: Land-Based System
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Ch 11: Digital Image Matching
• Objective: Automated identification of conjugate
points in overlapping images
• Terminology
• Issues affecting the complexity of the matching
problem
• Area-based matching:
– Cross correlation, and
– Least-squares matching
• Image resampling according to epipolar geometry
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Image Matching
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Image Matching
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Image Matching
Matching Window
Search Window
Template
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Original Images
Conjugate points do not have the same y-coordinates.
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Normalized Images
Conjugate points have the same y-coordinates.
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3D Reconstruction
Conjugate Points
a
a´
Object Point (A)
Camera Calibration
Geo-referencing
• The interior orientation parameters of the involved cameras have to be known.
• The position and the orientation of the camera stations have to be known.
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Ch 12: Digital Orthophoto Generation
• Objective: Manipulate a perspective image to
remove the sensor tilt and terrain relief effects
• Image resampling: interpolation of intensity
values
• Image transformation: direct and indirect
transformation
• Image Rectification:
– Polynomial rectification,
– Differential rectification, and
– True orthophoto generation
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Perspective Image
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True Orthophoto
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CE 59700: Roadmap
• Chapter 1: Introduction
• Chapters 2 – 4: Data acquisition
• Chapters 5 – 12: Data manipulation
– Chapter 5: Vertical imagery
– Chapter 6: Image coordinate measurements and
refinements
– Chapters 7 - 10: Mathematical model, bundle block
adjustment, integrated sensor orientation, and direct
geo-referencing
– Chapter 11: Digital image matching
– Chapter 12: Production of map-like images
(orthophotos)
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