Note: This is an archived Handbook entry from 2016.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2016:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 48 Hours (Lectures: 24 hours per semester; Labs/assignments: 24 hours per semester) |
Total Time Commitment:
Successful completion of the following subject is required:
Study Period Commencement:
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
CoordinatorDr Kourosh Khoshelham
Dr Kourosh Khoshelham
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.
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 (ILO)
On completion of this subejct the student is expected to:
Hurdle requirement: Students must pass the written examination at the end of the semester in order to pass the subject.
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
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.
Doctor of Philosophy - Engineering |
Master of Philosophy - Engineering
Master of Engineering (Spatial) |
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