SPA405 Image Analysis (8)
CSU Discipline Area: Spatial Science (SPASC)
Duration: One session
Abstract:
The subject covers the theoretical background of remote sensing; treats in detail the acquisition of digital data by imaging/non-imaging systems; and examines the commonly used procedures for enhancing and classifying multi-spectral data. The subject contains a total estimated workload of 150 hours.
+ Subject Availability Modes and Locations
| Session 2 | |
|---|---|
| Distance | Wagga Wagga |
Continuing students should consult the SAL for current offering details: SPA405
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
Objectives:
Upon successful completion of this subject, students should:
be able to:
- describe the characteristics and format of digital data;
- explain the main components of image processing systems;
- display and manipulate digital data;
- apply standard image analysis techniques to digital imagery;
- use the methodology of computer-based classifications of imagery.
Syllabus:
The subject will cover the following topics:
- Basic principles of computer display and processing digital imagery;
- Brief introduction to Remote Sensing Platforms and Sensors;
- Preprocessing of Remotely Sensed Data from satellite and airborne scanners;
- Enhancement techniques;
- Image transforms;
- Filtering techniques;
- Classification methodology and accuracy assessment;
- Applications.
Specialised Resources
Students are expected to be able to gain access for a significant amount of the session to an IBM PC or one of its many variants.
The information contained in the 2013 CSU Handbook was accurate at the date of publication: 24 April 2013. The University reserves the right to vary the information at any time without notice.