Course Contents
This course has been prepared to Understand the big picture of AI for satellite imaging, Download and explore the required dataset for your application, Design AI models using Machine learning and neural networks, Process the data using different AI techniques, and Evaluate the AI model to get the best performance.
The nature of the space and satellite industry presents a quintessential use-case for AI. Essentially, virtually all space activities and ventures constitute for AI engineering. Indeed, AI is ripe for use in Earth orbit activities like active debris removal and other deep space research exploration
Lecture 1 : Introduction to AI for Payload System
Introduction to AI for Payload System
Lecture 2 : Survey of Different AI Techniques for Different Applications
Survey of Different AI Techniques for Different Applications
Lecture 3 : Data Types and Features
Data Types and Features
Lecture 4 : Data resources and visualization
Data resources and visualization
Lecture 5 : Loading and compress data using unsupervised learning
Loading and compress data using unsupervised learning
Lecture 6 : Land classification using Supervised Learning
Land classification using Supervised Learning
Lecture 7 : Object detection on satellite images using deep learning
Object detection on satellite images using deep learning
Lecture 9 : Application Overview
Application Overview
