[Coursera] Remote Sensing Image Acquisition, Analysis and Applications

By Course Club Last updated Oct 10, 2022

About this Course

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. It assumes no prior knowledge of remote sensing but develops the material to a depth comparable to a senior undergraduate course in remote sensing and image analysis. That requires the use of the mathematics of vector and matrix algebra, and statistics. It is recognised that not all participants will have that background so summaries and hand worked examples are included to illustrate all important material. 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.

Skills you will gain

Radar Systems
Remote Sensing
Machine Learning
Image Analysis

Description

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.

What you will learn in Remote Sensing Image Acquisition, Analysis and Applications

Different radar systems
remote sensing
Machine learning and deep learning
Analysis of images
And …

Course Specifications

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

Size: 1.40 GB

Download Now

https://www.coursera.org/learn/remote-sensing.