- Date: August, 26th
- Room: Escale en Arz, in Arz island.
- Title: Seminaire au vert! (Annual team seminar)
- Program
- Date: Wednesday, October 23rd – 10:00
- Room: A103, ENSIBS Vannes
- Speaker: Tom Avellaneda (IRISA Obelix) – Internship oral presentation
- Title: Efficient Remote Sensing Change Retrieval without Learning using Pattern Spectra
- Abstract: In the context of remote sensing image analysis and earth observation, this study focuses on the problem of spatio-temporal patch retrieval. Given a small pattern with spatial and temporal characteristics, we want to retrieve similar patterns from a very large satellite image time series. To solve this problem we leverage pattern spectra, attribute histograms which can serve as features and can be computed very efficiently using morphological hierarchies. The extension of pattern spectra to spatio-temporal data has not yet been fully explored, and their potential use for spatio-temporal pattern retrieval has not been tested. We propose a large variety of possible patch retrieval models using pattern spectra, which can be computed as a grid very efficiently, and test the performance of these approaches on the SECOND change detection dataset.
