It was a great pleasure for me to introduce our ISSLIDE dataset [1] (available on IEEE Dataport) at the French Congress "Mesure des Déformations par Imagerie Spatiale (MDIS)" in Orléans!


A huge thanks to the organizers and to the participants for the constructive discussions and for highlighting the dataset. This will certainly encourage further researches on the application of Deep Learning tools for the detection of slow moving slope instabilities on SAR interograms.


You can access the (French only) MDIS abstract directly on HAL and we encourage you to read the Geoscience and Remote Sensing Letter (GRSL) paper on IEEE Xplore.


If our work can be of any use for use, please consider citing it as:


A. Bralet, E. Trouvé, J. Chanussot and A. M. Atto, “ISSLIDE: A New InSAR Dataset for Slow SLIding Area DEtection With Machine Learning,” in IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024, Art no. 3001005, doi: 10.1109/LGRS.2024.3365299.



Reference:

[1] A. Bralet, E. Trouvé, J. Chanussot and A. M. Atto, “ISSLIDE: A New InSAR Dataset for Slow SLIding Area DEtection With Machine Learning,” in IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024, Art no. 3001005, doi: 10.1109/LGRS.2024.3365299.