Course Introduction
Introduction to Remote Sensing Data Introduction to Remote Sensing Platforms
Image data error sources and correction
Sources of Radiometric Distortion and their Correction Sources of Geometric Distortion and their Correction Remote sensing image registration
Multispectral Transforms for Image Data
The principal components transform Other multispectral transformations
Machine Learning
The interpretation of remotely sensed images
Human assisted and machine learning approaches Statistical (parametric) supervised image classification Geometric (non parametric) supervised image classification Clustering and unsupervised classification
Introduction to Deep Learning and Convolutional Neural Networks for multicomponent image analysis
Hyperspectral image analysis and interpretation Laboratory of remote sensing 3D image acquisition and analysis