Course Title: Advanced Imaging Technology

Part A: Course Overview

Course Title: Advanced Imaging Technology

Credit Points: 12.00

Important Information:

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption. 

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT: 

Please read the Student website for additional requirements of in-person attendance: 

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance.


Course Code




Learning Mode

Teaching Period(s)


City Campus


145H Mathematical & Geospatial Sciences


Sem 1 2006,
Sem 1 2007,
Sem 1 2008,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016


City Campus


171H School of Science


Sem 1 2017,
Sem 1 2018,
Sem 1 2019,
Sem 1 2020

Course Coordinator: Chris Bellman

Course Coordinator Phone: +61 3 9925 3269

Course Coordinator Email:

Course Coordinator Location: 12.12.024

Pre-requisite Courses and Assumed Knowledge and Capabilities

Enforced Prerequisite:

GEOM2084 Remote Sensing & Photogrammetry

Course Description

This course builds on the core concepts of remote sensing and photogrammetry and allows you to explore more advanced topics in the field. In this course, you will study the principles and techniques for extracting measurements of physical features and other useful information from imagery data.  You will be introduced to different stages of the workflow including data collection, data analytics and result interpretation.  You will learn to work with different types of imagery data collected by diverse imagery sensors and extract semantic information as well as spatial information. 

Please note that if you take this course for a Bachelor Honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level. (This applies to students who commence enrolment in a Bachelor Honours program from 1 January 2016 onwards. See the WAM information web page for more information.) 

The WAM web page link:

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for BH116 Bachelor of Applied Science (Surveying) (Honours) and BH117 Bachelor of Science (Geospatial Science)(Honours): 

1.2 Demonstrate in-depth understanding of the spatial models and mathematical methods used in contemporary practice 
1.3  Understand specialist bodies of knowledge in surveying and geospatial science. 
2.1  Apply standard and advanced techniques to solve a range of measurement and data management problems. 
2.2  Proficiently perform survey computations in two and three dimensions. 
3.2  Interpret and critically analyse results and make informed judgments on the appropriateness of solutions. 
3.3  Apply critical and analytical skills in a scientific and professional manner. 

Course Learning Outcomes (CLOs)

On completion of this course you should be able to: 

CLO 1. Calculate and analyse statistics of point cloud data to generate insight 
CLO 2. Visualize, interpret and communicate 3D models 
CLO 3. Extract a Digital Terrain Model from photography using automated tools 
CLO 4. Produce image-based digital data products 
CLO 5. Explain key principles of multi-photo adjustments for mapping purposes and close-range measurement purposes. 

Overview of Learning Activities

You will be actively involved in a combination of lectures and practical classes. You are expected to invest time in independent mastery of the software environments used in the course.

Students are expected to devote time to completing assignments, reports and to independent study.

Overview of Learning Resources

As a student enrolled in this course you have access to extensive learning resources provided in the school and in the RMIT Library. The library offers comprehensive services and facilities, geared to assist you in completing your studies successfully. You will have access to specialist software used in remote sensing and photogrammetry. Furthermore we will provide you with additional lecture notes and practical guides. There is no prescribed text for the course but the library contains many suitable reference books on this and related topics.

A library subject guide is available at:

Overview of Assessment

This course has no hurdle requirements.

Assessment Tasks

Assessment Task 1: Online quizzes (3)
Weighting 15%
This assessment task supports CLOs 1, 2, 3, 4 & 5

Assessment Task 2: Reports
Weighting 20%
This assessment task supports CLOs 1 & 2

Assessment Task 3:  Practical exercise reports (3)
Weighting 45%
This assessment task supports CLO 1, 2, 3 & 4

Assessment Task 4: Final knowledge test
Weighting 20% 
This assessment supports CLOs 1, 2, 3 , 4 & 5