Prof. Ludovico Giorgio Aldo Biagi

• Slides of the professor Note: Available in the Beep page of the course

Argomenti del programma: General introduction The positioning problem. The different scenarios: outdoor and indoor. The different spatial scales, from very local to global. The different user requirements: horizontal, vertical and 3D estimation; accuracy and integrity. Introduction to the processing techniques. Reference Frames RF in 1, 2 and 3 dimensions. Transformations. Earth dynamics. Terrestrial reference frames: ITRF and ETRF.

• Slides available on the Beep Platform

Argomenti del programma: Topics of the course are: 1. Introduction to Machine Learning for EO and geospatial data 2. Support Vector Machines 3. Decision Trees 4. Bagging and boosting 5. Random forests 6. Artificial Neural Networks 7. Convolutional Neural Networks 8. U-Net 9. Transer learning 10. Hyper parameter tuning 11. Change detection analysis in Earth Observation 12.

• Slides available on the Beep Platform

Argomenti del programma: Topics of the course are: 1. Introduction to Machine Learning for EO and geospatial data 2. Support Vector Machines 3. Decision Trees 4. Bagging and boosting 5. Random forests 6. Artificial Neural Networks 7. Convolutional Neural Networks 8. U-Net 9. Transer learning 10. Hyper parameter tuning 11. Change detection analysis in Earth Observation 12.

Argomenti del programma: Topics of the course are: Introduction to remote sensing / Earth Observation Basic definitions and laws of electromagnetic radiation Satellites, sensors and data formats Geometric correction or georeferencing Atmospheric influence and radiometric correction Histogram manipulation Template filters Band algebra and vegetation indexes Components Analysis The classification problem Clustering and unsupervised…