|Short Description:||Remote Sensing & Image Process|
|Faculty or Section :||Faculty of Health, Engineering and Sciences|
|School or Department :||School of Civil Engineering and Surveying|
|Student contribution band :||Band 2|
|ASCED code :||031103 - Mapping Science|
|Grading basis :||Graded|
|Version produced :||31 October 2020|
This course is designed to provide students with the basic and intermediate knowledge and skills in the digital processing of remotely sensed images. Topics include: basic principles of remote sensing; image processing systems; pre-processing of remotely-sensed data; image enhancement techniques; image transformation and filtering techniques; unsupervised classification; supervised classification; post classification and accuracy assessment including field investigations; integration with GIS; and applications and case studies. Various imagery products will be studied, such as panchromatic, multispectral and hyperspectral data. Image processing software will be used to demonstrate and reinforce the concepts and principles involved.