SPA405 Image Analysis (8)


The subject covers the theoretical background of remote sensing and treats in detail the acquisition of digital data by imaging/non-imaging systems. The subject also examines the commonly used procedures for enhancing and classifying multi-spectral data. Topics include  the pre-processing of remotely sensed data from satellite and airborne scanners, enhancement techniques, image transformations, and filtering techniques. It assumes students already have had an introduction to remote sensing techniques. The subject  has no residential school and on completion students have the ability to make sound independent judgements regarding the appropriate use of image analysis techniques.

+ Subject Availability Modes and Location

Session 2
OnlineAlbury-Wodonga Campus
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.

Subject information

Duration Grading System School:
One sessionHD/FLSchool of Environmental Sciences

Assumed Knowledge


Learning Outcomes

Upon successful completion of this subject, students should:
  • have specialised knowledge about the characteristics and format of digital data
  • have a broad and coherent understanding of the main components of an image processing systems
  • have specialised skills in using computer systems in order to display and manipulate digital data
  • have specialised skills in the use of computer-based classifications of imagery
  • be able to apply their knowledge and skills to make sound independent judgements regarding the appropriate use of image analysis techniques to digital imagery


The subject will cover the following topics:
  1. Basic principles of computer display and processing digital imagery;
  2. Brief introduction to Remote Sensing Platforms and Sensors;
  3. Preprocessing of Remotely Sensed Data from satellite and airborne scanners;
  4. Enhancement techniques;
  5. Image transforms;
  6. Filtering techniques;
  7. Classification methodology and accuracy assessment;
  8. 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 2017 CSU Handbook was accurate at the date of publication: 25 August 2017. The University reserves the right to vary the information at any time without notice.