GMFM350 Big data and machine learning in remote sensing

Lectures: Characteristics and processing chains of remote sensing data. Big data concepts and tools in remote sensing. Machine learning (ML) and deep learning (DL) methods and algorithms used in remote sensing. ML and DL in remote sensing image classification, segmentation and processing (correction and enhancement). ML and DL methods for analyzing high dimensional remote sensing data such as laser scanning data, image time series, and hyperspectral images.

Exercises:1: Big data in remote sensing: image collections, data cube, time series and their computation. 2: Multi-spectral image classification and segmentation using Machine learning methods. 3: Satellite image time series, lidar data and hyperspectral image classification using machine learning.