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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2010/2011
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DRPS : Course Catalogue : School of Geosciences : Postgraduate Courses (School of GeoSciences)

Postgraduate Course: Advanced Image Processing (PGGE11056)

Course Outline
School School of Geosciences College College of Science and Engineering
Course type Standard Availability Available to all students
Credit level (Normal year taken) SCQF Level 11 (Postgraduate) Credits 10
Home subject area Postgraduate Courses (School of GeoSciences) Other subject area None
Course website http://www.geos.ed.ac.uk/postgraduate/MSc/mscprogrammes/remotesip/ Taught in Gaelic? No
Course description This course extends and builds on the material in the semester 1 courses ?Theory of Image Processing? and ?Applied image processing?. Techniques applicable to optical, thermal and microwave methods are covered but greatest emphasis is given to optical techniques. Emphasis is placed on gaining a practical understanding of the principles behind each technique and a consideration of their appropriateness in different applications. Practical experience in the utilization of remotely sensed data and in image processing techniques will be gained through a series of unsupervised practical projects designed to complement lecture material. Students are required to implement some of the techniques themselves in a programming language: this leads to deeper understanding of the basic principles involved. Emphasis will also be placed on the importance of image interpretation.
Entry Requirements
Pre-requisites Students MUST have passed: Applied Image Processing (PGGE11028) AND Theory of Image Processing (PGGE11062)
Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisites None
Displayed in Visiting Students Prospectus? Yes
Course Delivery Information
Not being delivered
Summary of Intended Learning Outcomes
The course builds on the theory of image processing introduced in semester 1 by
Discussing the treatment of geometrical correction of common distortions
Covering ways of classifying different areas and textures in images
Introducing the student to recent developments in the practical application of image processing techniques
Assessment Information
The Course is assessed on 4 items
A classification exercise (20%)
A principal component analysis exercise (10%)
An exercise in image registration (30%)
A student seminar (40%)
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus Not entered
Transferable skills Not entered
Reading list Not entered
Study Abroad Not entered
Study Pattern Not entered
Keywords Not entered
Contacts
Course organiser Dr Hugh Pumphrey
Tel: (0131 6)50 6026
Email: h.c.pumphrey@ed.ac.uk
Course secretary Ms Caroline Keir
Tel: (0131 6)50 2543
Email: caroline.keir@ed.ac.uk
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copyright 2011 The University of Edinburgh - 13 January 2011 6:28 am