Abstract
This subject develops knowledge and practical skills regarding the appropriate use of remote sensing image processing and analysis techniques. Topics include radiometric and geometric correction, vegetation analysis, image transformations, principle components analysis, unsupervised and supervised image classification techniques and image classification accuracy assessment. Image processing software is utilised to develop … For more content click the Read More button below.
Syllabus
Radiometric and geometric correction of remote sensing imageryRemote sensing vegetation analysisMethods for remote sensing image transformations: raster math and band ratiosPrinciple components analysis of remote sensing imagery Methods for remote sensing image classification: supervised and unsupervised techniquesAccuracy assessment and error analysis of remote sensing image classification results
Learning outcomes
Upon successful completion of this subject, students should:
1.
be able to apply and compare methods for geometric and radiometric correction of remote sensing data
2.
be able to apply and compare remote sensing vegetation analysis methods
3.
be able to apply and compare techniques for remote sensing image classification
4.
be able to apply and describe methods for accuracy assessment and error analysis in remote sensing image classification outputs
5.
be able to evaluate remote sensing image analysis techniques using published literature
Assumed knowledge
SPA217 OR SPA417 OR SPA441
Enrolment restrictions
Nil
Incompatible
Learning resources
Additional resources required by students
Image processing software (ENVI) is used in this subject. Software is supplied.