Published on: 2022-09-27 18:27:51
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Remote Sensing Image Acquisition, Analysis and Applications is a training course on remote sensing, creation of sensor images and analysis and application of these images in various fields, published by Coursera Specialized Academy. During the process of this training course, you will get to know the process of imaging the surface of the earth in a completely specialized way. Taking pictures of the earth’s surface is a long process, and engineers use different methods such as satellites and drones to realize it. For remote sensing, there are different platforms and sensors that you will get to know about the types and applications of each during this training course. Imaging and measuring is the initial part and the first stage of the work, and very complex computational algorithms are used to interpret and explain these images and photos in the next stages.
Getting to know the history of these algorithms is one of the most important topics raised in this training course, and at the end you will get to know the techniques based on machine learning and deep learning that are used in remote sensing today.
Publisher: Coursera
Instructors: John Richards
Language: English
Level: Intermediate
institution/university: UNSW Sydney (The University of New South Wales) and IEEE Geoscience and Remote Sensing Society
Number of Weeks: 15
Duration: Approx. 23 hours to complete
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
Fundamental understanding of vector and matrix algebra and basic statistics
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