In this subject, students learn important mathematical concepts and algorithms commonly used in processing of multispectral remote sensed imagery. This includes understanding the sources and characteristics of remote sensed data and the geometric and radiometric corrections to remote sensed imagery. On completion, students will have the ability to select and use an appropriate image processing technique to enhance and classify land cover classes using multispectral image data.
School of Environmental Sciences
Undergraduate students may not enrol in this subject unless they have the permission of their Course Director and the Subject Coordinator.
Students who have completed SPA404 may not enrol in this subject
Introductory mathematics at tertiary level and remote sensing background at the level of SPA417 or equivalent.
The information contained in the CSU Handbook was accurate at the date of publication: May 2019. The University reserves the right to vary the information at any time without notice.