UCL DEPARTMENT OF CIVIL, ENVIRONMENTAL
AND GEOMATIC ENGINEERING
Programme(s): MSc/PgDip Photogrammetry with Remote Sensing
MSc/PgDip Remote Sensing
MSc/PgDip Environmental Mapping
Academic Year: 2010/2011
Module Title:
Image Processing & GIS
Module Code: CEGEG045
Credit Points:
15
Term: 1
Brief Description:
The module will introduce essential knowledge and techniques of image processing and geographic
information system (GIS) for remotely sensed images in order to enhance, classify, extract and analyse
thematic information for various remote sensing applications. The details of the content of the course are
shown in the teaching outline below. The course is taught in lectures and matching hands-on computer
practical sessions.
Aims & Learning Outcomes:
The aim of this course is to introduce transferable knowledge, techniques and computing skills to handle with
remote sensed imagery data for image visualization, thematic information enhancement and extraction and
geographic information manipulation using digital image processing and GIS.
Understand the principles and mathematical background of image processing and GIS.
Be able to use and understand image processing and GIS software packages and to apply these to various
applications of remote sensing.
Module Coordinator:
Module Team:
Dr J G Liu (Imperial College)
Dr P Mason (Imperial College)
Pre- and Co- Requisites:
Pre-requisite(s) for this module:
Co-requisite(s) for this module:


None
None
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j.g.liu@imperial.ac.uk
p.j.mason@imperial.ac.uk
Teaching Outlines:
Week:
3/7
AM/PM:
AM
PM
4/8
AM
PM
5/9
AM
PM
6/10
7/11
8/12
AM
PM
AM
PM
AM
10/14
PM
AM
PM
AM
11/15
PM
AM
9/13
PM
Content:
Duration:
Image processing system and operation
Theory and practice of Geographic
Information Systems
Hands on practical
Contrast enhancement and image
algebraic operations
Filtering and neighbourhood processing
Hands on practical
Data structures, querying and statistical
methods
Hands on practical
RGB-HIS transformation and principle
component analysis
Hands on practical
Staff:
3
Liu
Mason
3
Liu/Mason
3
Liu
3
Liu/Mason
3
Mason
3
Mason/Liu
3
Liu
3
Liu/Mason
Room Type: (i.e.
Lecture/Practical)
Reading Week
Multi-dataset, logical operations (map
algebra) and spatial modelling
Hands on practical
Image classification
Hands on practical
Surfaces, digital elevation models and
3-D visualisation
Hands on practical
Image geometric operation (map
projection and rectification)
Hands on practical
3
Mason
3
3
3
3
Mason/Liu
Liu
Liu/Mason
3
3
Mason/Liu
Liu
3
Liu/Mason
Mason
Coursework Details:
Coursework No.:
Week Set:
Week Due:
No. of Questions
on Paper:
5
No. of Questions
to be Attempted:
3
Value: (%)
Set By:
Examination Details:
Duration of Exam:
3 hours
Reading List / Further References:
Liu, J.G.and Mason, P.J. 2009, Essential Image Processing and GIS for Remote Sensing. (Wiley and
Blackwell)
Castleman, K.R., 1996, Digital Image Processing. (Prentice Hall)
Gonzalez, R.C. and Woods, R.E., 2002, Digital Image Processing. 2nd edition. (Person Education)
Jensen , J.R.2005, Introductory Digital Image Processing – A Remote Sensing Perspective. 3rd edition.
(Prentice Hall)
Mather, P.M., 2004, Computer Processing of Remotely-Sensed Images. 3rd Edition. (Wiley & Sons)
Niblack, W., 1986, An introduction to digital image processing. (Prentice Hall)
Richards, J.A., 2006, Remote Sensing Digital Image Analysis: an Introduction. 4th edition. (Springer-Verlag)
Schowengerdt, R.A., 1997, Remote Sensing: Models and Methods for Image Processing. (Academic Press)
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