Tutorials
Full Day Tutorials
- FD-01: From patch similarity to nonlocal processing: patch-based methods & applications in remote sensing
- FD-02: Planetary-scale geospatial analysis with Google Earth Engine
- FD-03: Recent advances in machine learning and signal processing for remote sensing data analysis
- FD-04: Remote Sensing with Reflected Global Navigation Satellite System (GNSS-R) Signals
- FD-05: SAR Polarimetry: Basics, Processing Techniques and Applications
Half Day Tutorials
- HD-01: Advances on signal and image processing for remote sensing
- HD-02: Analysis of remote sensing images using mathematical morphology
- HD-03: Big Data from Earth Observation: analytics, mining, semantics
- HD-04: From SAR Interferometry to 3D/4D Tomography: basics and applications
- HD-05: Hyperspectral Imaging Remote Sensing
- HD-06: Inverse Problems in Hyperspectral Imaging: Denoising, Fusion, and Compressive Acquisition
- HD-08: On the acceleration of hyperspectral image unmixing and compression for time-critical applications
- HD-10: Vegetation Biomass Estimate at Both Local and Global Scale with Microwave Sensors