Remote Sensing Image Acquisition, Analysis and Applications

4.6
stars
32 ratings
•
9 reviews

John Richards

3,316 already enrolled

Offered By

UNSW Sydney (The University of New South Wales)

IEEE Geoscience and Remote Sensing Society

Remote Sensing Image Acquisition, Analysis and Applications

UNSW Sydney (The University of New South Wales)

About this Course

24,886 recent views

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.
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.  It will prepare participants to use the material in their own disciplines and to undertake more detailed study in remote sensing and related topics.

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Intermediate Level

Fundamental understanding of vector and matrix algebra and basic statistics

Approx. 23 hours to complete

English

Subtitles: English

Skills you will gain

Radar SystemsRemote SensingMachine LearningImage Analysis

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Intermediate Level

Fundamental understanding of vector and matrix algebra and basic statistics

Approx. 23 hours to complete

English

Subtitles: English

Instructor

Instructor rating

4.64/5 (17 Ratings)

John Richards

Emeritus Professor

UNSW Canberra

3,316 Learners

1 Course

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.

IEEE Geoscience and Remote Sensing Society

The IEEE Geoscience and Remote Sensing Society deals with the theory, concepts, and techniques of science and engineering as they apply to the remote sensing of the earth, oceans, atmosphere, and space using spacecraft, aircraft and unpiloted vehicles. It is also concerned with the processing, interpretation and dissemination of this information.

Syllabus - What you will learn from this course

Week

Week 1

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

Course Introduction7m

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 hour to complete

5 videos (Total 37 min), 2 readings, 1 quiz

5 videos

Welcome to Module 21m

Module 2 Lecture 1: Fundamentals of image analysis and machine learning10m

Module 2 Lecture 2: The maximum likelihood classifier10m

Module 2 Lecture 3: The maximum likelihood classifier—discriminant function and example10m

Module 2 Lecture 4: The minimum distance classifier, background material3m

2 readings

Text of slide audio file for Module 210m

End of lecture quiz solutions10m

1 practice exercise

Week 6 Quiz30m

Week

Week 7

1 hour to complete

Week 7 Lectures and Quiz

1 hour to complete

6 videos (Total 39 min)

6 videos

Module 2 Lecture 5: Training a linear classifier7m

Module 2 Lecture 6: The support vector machine—training12m

Module 2 Lecture 7: The support vector machine—the classification step and overlapping data6m

Module 2 Lecture 8: The support vector machine—non-linear data3m

Module 2 Lecture 9: The support vector machine—multiple classes and the classification step4m

Module 2 Lecture 10: The support vector machine—an example4m

2 hours to complete

6 videos (Total 59 min), 2 readings, 1 quiz

6 videos

Welcome to Module 32m

Module 3 Lecture 1: Feature reduction10m

Module 3 Lecture 2: Exploiting the structure of the covariance matrix10m

Module 3 Lecture 3: Feature reduction by transformation8m

Module 3 Lecture 4: Separability measures12m

Module 3 Lecture 5: Distribution-free separability measures14m

2 readings

Text of slide audio file for Module 310m

End of lecture quiz solutions10m

1 practice exercise

Week 11 Quiz30m

7 videos

Module 3 Lecture 19: Geometric distortions in radar imagery7m

Module 3 Lecture 20: Geometric distortions in radar imagery, cont.9m

Module 3 Lecture 21: Radar interferometry9m

Module 3 Lecture 22: Radar interferometry for detecting change6m

Module 3 Lecture 23: Some other considerations in radar remote sensing11m

Module 3 Lecture 24: The course in review6m

Course Closing Comments1m

1 reading

Instructions for test and data to be used when answering questions10m

2 practice exercises

Week 15 Quiz30m

Module 3 Test questions and your answers1h

Reviews

4.6

9 reviews

5 stars
75%
4 stars
15.62%
3 stars
6.25%
2 stars
3.12%

TOP REVIEWS FROM REMOTE SENSING IMAGE ACQUISITION, ANALYSIS AND APPLICATIONS

by KVJun 12, 2021

The course should add practice exercise for gaining more understanding to the course

View all reviews

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Remote Sensing Image Acquisition, Analysis and Applications

Remote Sensing Image Acquisition, Analysis and Applications

About this Course

Skills you will gain

Instructor

John Richards

Offered by

UNSW Sydney (The University of New South Wales)

IEEE Geoscience and Remote Sensing Society

Syllabus - What you will learn from this course

Week 1

Course Welcome, Instructor, Course Resources, Module 1 Introduction and Week 1 Lectures and Quiz

Week 2

Week 2 Lectures and Quiz

Week 3

Week 3 Lectures and Quiz

Week 4

Week 4 Lectures and Quiz

Week 5

Week 5 Lectures and Quiz, Module 1 Test

Week 6

Module 2 Introduction, Week 6 lectures and Quiz

Week 7

Week 7 Lectures and Quiz

Week 8

Week 8 Lectures and Quiz

Week 9

Week 9 Lectures and Quiz

Week 10

Week 10 Lectures and Quiz, Module 2 Test

Week 11

Module 3 Introduction, Week 11 Lectures and Quiz

Week 12

Week 12 Lectures and Quiz

Week 13

Week 13 Lectures and Quiz

Week 14

Week 14 Lectures and Quiz

Week 15

Week 15 Lectures and Quiz, Module 3 Test, Course Conclusion

Reviews

TOP REVIEWS FROM REMOTE SENSING IMAGE ACQUISITION, ANALYSIS AND APPLICATIONS

Frequently Asked Questions

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