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Advanced Imaging (GEOM90038)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
To learn more, visit 2023 Course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Overview
Availability | Semester 1 - Dual-Delivery |
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Fees | Look up fees |
This subject will introduce students to advanced 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.
The subject is of particular relevance to students wishing to establish a career in infrastructure engineering, civil engineering, property management, surveying, spatial information and urban planning but is also relevant to a range of disciplines where 3D building information should be considered.
Intended learning outcomes
On completion of this subject the students should be able to:
- Describe the characteristics of image data obtained from reality capture sensors.
- Design the appropriate data acquisition techniques for capturing various infrastructures.
- Apply image processing methods to retrieve three dimensional spatial information from imagery.
- Evaluate the accuracy of adopted process and derived spatial information.
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: 10 November 2023
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: 10 November 2023
Assessment
Description | Timing | Percentage |
---|---|---|
Four written assignments each requiring approximately 13-15 hours of work (equivalent of 1000 words each) and partly completed in laboratory classes. 10% each, 40% total. Intended Learning Outcomes (ILOs) 2, 3 and 4 are addressed in this assessment.
| Due in weeks 3, 6, 9, 12. | 40% |
Two in-class 1-hour tests, 10% each. ILOs 1 and 4 are addressed in this assessment.
| Due between weeks 3-6 and weeks 7-10 | 20% |
One online exam, end of semester. ILOs 1 and 4 are addressed in this assessment.
| During the examination period | 40% |
Last updated: 10 November 2023
Dates & times
- Semester 1
Principal coordinator Kourosh Khoshelham Mode of delivery Dual-Delivery (Parkville) Contact hours 48 Hours (Lectures: 24 hours per semester; Labs/assignments: 24 hours per semester) Total time commitment 200 hours Teaching period 27 February 2023 to 28 May 2023 Last self-enrol date 10 March 2023 Census date 31 March 2023 Last date to withdraw without fail 5 May 2023 Assessment period ends 23 June 2023 Semester 1 contact information
Time commitment details
200 hours
Last updated: 10 November 2023
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 Ph.D.- Engineering Course Doctor of Philosophy - 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: 10 November 2023