Tutorial on Deep Learning for Remote Sensing at NoRSC 19

Posted on 09/10/2019 by Sylvain

On the 16th of September, I gave a workshop on Deep Learning for Remote Sensing together with Ahmed Samy Nassar from IRISA in France. This workshop was given at the Nordic Remote Sensing Conference (NoRSC) which took place in the Aarhus Institute of Advanced Studies, Denmark. In addition to Ahmed, this workshop was also prepared by Diego Marcos.

The first part of the tutorial was a general introduction on Deep learning, which lead to two practicals (one on classification, and the second on semantic segmentation) focused on remote sensing data. Both practicals were made using Jupyter notebooks, which the attendees can reuse to bootstrap their next project!

We would like to thank the 36 people who attended this workshop!

New paper in IJGIS!

Posted on 27/11/2018 by Sylvain

With Shivangi Srivastava, John Vargas and Devis Tuia, we recently published an article on land-use classification using ground based pictures (e.g. Google Street View images):

Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data

Shivangi Srivastava, John Vargas, Sylvain Lobry, Devis Tuia

in International Journal of Geographical Information Science (IJGIS)

Good news: it is published in open access!

Ground-based pictures (both inside and outside) from Google Street View.

This work assigns a land-use class (e.g. religious place, hotel, post office, …) to buildings, which is an essential task towards better urban land management. In order to do this classification, we use the images from Google Street View pointing to a building as an input to a variable input siamese network (allowing to take into account the information coming from an unknown number of images). This network has been trained using ground truth labels extracted from OpenStreetMap (which are freely available).

Presentation at ESA’s Φ-Week

Posted on 18/11/2018 by Sylvain

I presented a selection of works done with my colleagues at the Laboratory of Geoinformation Science and Remote Sensing at Wageningen University and Research at the Φ-Week event organized by ESA.

I talked about our vision on how to use deep learning models to extract information from remote sensing data.

The conference was live-streamed and the replay is available below (my talk starts at 45′)!

PhD award of the Fondation Mines-Télécom

Posted on 06/04/2018 by Sylvain

I have been awarded best PhD thesis from the Fondation Mines-Télécom!

Every year, a prize honors the best PhD thesis from the Futur & Ruptures program (co-funded by the Fondation Mines-Télécom and the Carnot institute Télécom & Société numérique).

After presenting the work I have done during my PhD at the Journée Futur & Ruptures (a day organized every year by the Fondation Mines-Télécom to present the work achieved during the PhD they funded), four of us were selected as finalists for the PhD award.

I then made a video (of 3 minutes, in french) summing up my work (long way to go before being a youtuber..!). The prizes were announced during the special event organized by the Fondation, which was held on the 27th of March at the BNP Parisbas headquarters in Paris.

Credit: Franck Beloncle

The awards were given as follow:

1^st prize: Sylvain Lobry – Markovian models for information extraction in SAR images – Télécom ParisTech

2^nd prize (tied):

– El Mehdi Amhoud – Coding Techniques for Space Division Multiplexed Optical Fiber Systems – Télécom ParisTech

– Yousra Bekhti – Source localization for functional brain imaging with M/EEG – Télécom ParisTech

– Ivan Gorynin – Fast Filtering and Unsupervised Estimation in Switching Markov Models – Télécom SudParis

It was a great evening, and I particularly enjoyed the interactions with the other recipients! Once again, I would like to thank the Fondation for this prize, as well as Loïc Denis, Florence Tupin, Roger Fjørtoft and Cyrielle Flosi for their advices on the video.

PhD defense – November 16th, 2017

Posted on 16/11/2017 by Sylvain

On the 16th of November I defended my PhD at Télécom ParisTech. The title is:

Markovian models for SAR images:

Application to water detection in SWOT satellite images and multi-temporal analysis of urban areas

In front of the jury:

Mr. Eric Pottier (President)
Mr. Ronan Fablet (Reviewer)
Mr. Jean-François Giovannelli (Reviewer)
Mme Marie Chabert (Examinator)
Mme Gilda Schirinzi (Examinator)
Mr. Loïc Denis (Examinator)
Mr. Brent Williams (Invited member)
Mme Florence Tupin (Supervisor)
Mr. Roger Fjørtoft (Supervisor)

You can find more information (including manuscript, slides, animations…) on the dedicated page.

I wanted to thank everyone who made this day feel really special, starting with the member of the jury. Thanks to their challenging questions, the defense was a moment that I enjoyed!

And I would like to thank my colleagues, friends and family who came and organized the traditional cocktail. It was great seeing all of you!