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Advanced Imaging (GEOM90038)
Graduate courseworkPoints: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | Semester 1 |
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Fees | Look up fees |
AIMS
To introduce students to advanced and esoteric imaging technologies and the methods for extracting quantitative information from multi-source imagery. This subject builds on the knowledge of subjects such as imaging the environment, by considering multi-source images of the target to provide additional information such as the distance from the target to object from which a three dimensional representation can be constructed. It also considers imaging of targets where illumination is provided by the instrument rather than natural light reflection or radiation from the target. Students who successfully complete this subject may find work in a variety of remote sensing or specialist consultancies or agencies. The techniques learnt may also be applied to other industries such as quality control in manufacturing or recording of archaeological sites.
INDICATIVE CONTENT
The subject covers the characteristics of specialised imaging techniques and instruments including LIDAR, photogrammetry, and high resolution satellite imagery, as well as processing techniques for generating products such as orthoimages and digital terrain models. It also discusses considerations, inherent errors, and limitations of each of these techniques.
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILO)
On completion of this subejct the student is expected to:
- Describe the acquisition and characteristics of specialized image data
- Identify the appropriate combination of imaging techniques to meet a particular need
- Apply image processing to solve extract quantitative information from imagery
- Evaluate the accuracy of image processing and the derived products.
Generic skills
- Ability to apply knowledge of science and engineering fundamentals
- Ability to undertake problem identification, formulation and solutions
- Ability to communicate effectively, with the engineering team and with the community at large
- Ability to manage information and documentation.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
A general understanding of spatial information and basic mathematical and computer skills needed for processing spatial data.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
One written examination. Intended Learning Outcomes (ILOs) 1, 2 and 4 are addressed in the examination
| End of semester | 40% |
Four written assignments (10% each) each requiring approximately 13-15 hours of work and partly completed in laboratory classes. ILOs 3 and 4 are addressed in the assignments
| Throughout the teaching period | 40% |
Two 1 hour in-class tests (10% each). ILOs 1 and 2 are addressed in the test
| 20% |
Last updated: 3 November 2022
Dates & times
- Semester 1
Principal coordinator Kourosh Khoshelham Mode of delivery On Campus (Parkville) Contact hours 48 Hours (Lectures: 24 hours per semester; Labs/assignments: 24 hours per semester) Total time commitment 200 hours Teaching period 2 March 2020 to 7 June 2020 Last self-enrol date 13 March 2020 Census date 30 April 2020 Last date to withdraw without fail 5 June 2020 Assessment period ends 3 July 2020 Semester 1 contact information
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Subject notes
LEARNING AND TEACHING METHODS
Lectures and guided practical assignments.
INDICATIVE KEY LEARNING RESOURCES
Online interactive tutorials.
CAREERS / INDUSTRY LINKS
Practical context and industry links are provided in the problem-based learning exercises.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Doctor of Philosophy - Engineering Course Ph.D.- Engineering Course Master of Philosophy - Engineering Specialisation (formal) Spatial - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022