Advanced Image Processing (P00803)

? Credit Points : 10 ? SCQF Level : 11 ? Acronym : GEO-P-RSAIP

This course examines the practical applications of image processing for analysing images from both passive and active remote sensing systems. 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 using the ERDAS IMAGINE image processing software through a series of unsupervised practical projects designed to complement lecture material. Emphasis will also be placed on the importance of image interpretation.

Entry Requirements

? Pre-requisites : Available only to postgraduate students 'Applied Image Processing' and 'Theory of Image Processing' for non-Remote Sensing and Image Processing MSc students

Subject Areas

Home subject area

Postgraduate Courses (School of GeoSciences), (School of GeoSciences, Schedule N)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Block 3 only

? Contact Teaching Time : 4 hour(s) per week for 5 weeks

First Class Information

Date	Start	End	Room	Area	Additional Information
09/01/2007	14:00	18:00	Room 301, Crew Building	KB

All of the following classes

Type	Day	Start	End	Area
Lecture	Tuesday	14:00	18:00	KB

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