Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth's surface from space or from airborne vehicles.
Offered By
Remote Sensing Image Acquisition, Analysis and Applications
UNSW Sydney (The University of New South Wales)About this Course
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Approx. 23 hours to complete
English
Subtitles: English
Skills you will gain
Radar SystemsRemote SensingMachine LearningImage Analysis
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 23 hours to complete
English
Subtitles: English
Offered by
UNSW Sydney (The University of New South Wales)
UNSW Sydney, based in Sydney Australia, was established in 1949 and is one of Australia’s leading research and teaching universities with more than 50,000 students from over 120 countries. UNSW Sydney aspires to provide students with an outstanding educational experience, which both reflects our strong traditions of excellence, innovation and social justice, and builds on our strengths in scientific, technological and professional disciplines.
Syllabus - What you will learn from this course
2 hours to complete
Course Welcome, Instructor, Course Resources, Module 1 Introduction and Week 1 Lectures and Quiz
Remote sensing is the science and technology of acquiring images of the earth’s surface from spacecraft, aircraft and drones to aid in the monitoring and management of the natural and built environments. Extensive computer-based analysis techniques are used to extract information from the recorded images in support of applications ranging over many earth and information science disciplines. This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning. The course material is extensively illustrated by examples and commentary on the how the technology is applied in practice. While broad in its coverage the 15 hours of instruction, supported by quizzes and tests, will prepare participants to use the material in their own disciplines and to undertake more detailed study in remote sensing and related topics.
2 hours to complete
6 videos (Total 45 min), 4 readings, 1 quiz
6 videos
Welcome to Module 11m
Module 1 Lecture 1 What is remote sensing8m
Module 1 Lecture 2 The atmosphere8m
Module 1 Lecture 3 What platforms are used for imaging the earth's surface?9m
Module 1 Lecture 4 How do we record images of the earth's surface?9m
4 readings
Course instructions10m
Instructor biography10m
Text of slide audio files for Module 110m
End-of-lecture quiz answers10m
1 practice exercise
Week 1 Quiz30m
1 hour to complete
Week 2 Lectures and Quiz
1 hour to complete
4 videos (Total 42 min)
4 videos
Module 1 Lecture 6 Distortions in recorded images13m
Module 1 Lecture 7 Geometric distortion in recorded images8m
Module 1 Lecture 8 Correcting geometric distortion5m
1 practice exercise
Week 2 Quiz30m
1 hour to complete
Week 3 Lectures and Quiz
1 hour to complete
5 videos (Total 38 min)
5 videos
Module 1 Lecture 10 Resampling5m
Module 1 Lecture 11 An image registration example8m
Module 1 Lecture 12 How can images be interpreted and used?8m
Module 1 Lecture 13 Enhancing image contrast5m
1 practice exercise
Week 3 Quiz30m
1 hour to complete
Week 4 Lectures and Quiz
1 hour to complete
4 videos (Total 38 min)
4 videos
Module 1 Lecture 15 Classification: some more detail10m
Module 1 Lecture 16 Correlation and covariance8m
Module 1 Lecture 17 The principal components transform8m
1 practice exercise
Week 4 Quiz30m
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