Abstract
In this subject students will develop knowledge and practical skills regarding the appropriate use of remote sensing image processing techniques to produce valuable spatial information. Topics include hyperspectral imagery, change detection methods, and remote sensing image processing techniques utilising artificial intelligence. Open source remote sensing data are also considered and … For more content click the Read More button below.
Syllabus
Characteristics of hyperspectral remote sensing data; Information extraction techniques using hyperspectral remote sensing data; Remote sensing change detection workflow; Remote sensing change detection algorithms; Remote sensing information extraction techniques using artificial intelligence; andOpen sources of remote sensing data.
Assumed knowledge
Knowledge of remote sensing principles and a working knowledge of remote sensing image analysis software, equivalent to completion of SPA441 (or SPA217) and SPA442, are assumed.
Learning resources
Additional resources required by students
Students are responsible for all associated travel and resources (if applicable).
NOTE: Image processing software (ENVI) is used in this subject; software is supplied.