COURSE UNIT TITLE

: PHOTOGRAMMETRY IN GIS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GIS 5035 PHOTOGRAMMETRY IN GIS ELECTIVE 2 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

GEOGRAPHICAL INFORMATION SYSTEMS - NON THESIS (EVENING PROGRAM)
GEOGRAPHICAL INFORMATION SYSTEMS
GEOGRAPHIC INFORMATION SYSTEMS
Geographical Information Systems (Non-Thesis)

Course Objective

Most data for GIS applications are produced using images acquired by air and space vehicles. GIS users must further process these raw images radiometrically and geometrically in order to integrate extracted information into GIS-medium. This course will deliver the information and methods on how an object is to be photographed/imaged to build 3D model, on how measurements are to be made on photos/images, on how we get 3D coordinates of objects from images relative to a coordinate system, on how we assess the product accuracy.

Learning Outcomes of the Course Unit

1   interpret the deviations from the mathematical model of an image
2   experiment with digital hand-held cameras and will be able to make basic computations on images taken with these cameras.
3   formulate the relation between an object point and its projection on the image to build a 3D model from images
4   evaluate the geometric accuracy of the GIS products generated from the data
5   discuss and evaluate their project assignments

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 1. Introduction 1.1. Photogrammetries: Analog, Analytic, Digital, Orbital, Aerial, Terrestrial, Close-range, etc. 1.2. Definitions 1.3. Historical benchmarks 1.4. Human vision
2 2. Physical reality and mathematical model for photos/images 2.1. Image coordinate system 2.2. Perspective Projection 2.3. Parallax and Stereo seeing 2.4. Model deviations: optical, atmospheric, and geometrical
3 3. Data Acquisition: Photogrammetric and remote sensing systems 3.1. Physics of sensing: Electromagnetics and optics 3.2. Imaging: Analog and digital cameras
4 4. Mathematical Concepts I: Single photo/image 4.1. Exposure time reconstruction: Inner orientation 4.2. Camera calibration and self calibration 4.3. Finding the exposure location and photo/image orientation: Outer orientation 4.4. Space resection
5 5. Mathematical Concepts II: Multiple photographs/images 5.1. Space intersection 5.2. Restituting the relief model: Relative orientation 5.3. Attaching the model to real world: Absolute orientation 5.4. Bundle block adjustment
6 6. Digital Photogrammetry Week I 6.1 Definitions of digital images 6.2 Radiometry and photometry 6.3 Imaging systems 6.3 Scanners
7 7. Digital Photogrammetry Week II 7.1 Digital Photogrammetric Workstations (DPW) 7.2 Image matching 7.3 Image resampling 7.4 Orientation of digital images
8 8. Orthophoto generation 8.1 Deformation of a photo 8.2 Line map or orthophoto 8.3 Digital orthophoto generation
9 9. Mid-term examination
10 10. Photogrammetric Products 10.1 Hardcopy products 10.2 Softcopy products 10.3 Accuracy of products
11 11. Project Week 1: Geometric processing of satellite images 11.1 Georeferencing high resolution images 11.2 Georeferencing medium and low resolution images
12 12. Project Week 2: Aerial Photogrammetry Application 12.1 Analog camera case study 12.1 Digital camera case study
13 13. Project Week 3: Terrestrial and Close-range Photogrammetry Application 13.1 Metric camera case study 13.2 Non-metric camera case study 13.3 Architecture Photogrammetry
14 14. Project Week 4: Laser Scanning Application 14.1 Airborne Laser Scanning 14.2 Terrestrial Laser Scanning

Recomended or Required Reading

Introduction to modern photogrammetry
EM Mikhail, JS Bethel, and JC McGlone
Wiley, 2001
Geoinformation: Remote Sensing, Photogrammetry and Geographical Information Systems
G. Konecny
CRC Press, 2002
Digital Photogrammetry: A Practical Course
W. Linder
Springer, 2009
Photogrammetry: Geometry from Images and Laser Scans
Karl Kraus
DeGruyter, 2007
Geospatial Technology for Earth Observation
Deren Li, Jie Shan and Jianya Gong (Editors)
Springer, 2009

Planned Learning Activities and Teaching Methods

Presentations and assignments.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRS PRESENTATION
2 FIN FINAL EXAM
3 FCG FINAL COURSE GRADE PRS * 0.40 + FIN * 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) PRS * 0.40 + RST * 0.60


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparing assignments 4 5 20
Preparing presentations 3 5 15
Design Project 1 10 10
Preparations before/after weekly lectures 13 7 91
Midterm 1 10 10
Final 1 20 20
TOTAL WORKLOAD (hours) 194

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.13234433323443
LO.23323334232234
LO.33423223442323
LO.42234222223224
LO.53242323322323