It is a great pleasure to announce that our Geoscience and Remote Sensing Letters (GRSL) paper describing and testing ISSLIDE is now published and available online !


The paper relates the whole annotation process process of our recently published dataset ISSLIDE (available on IEEE Dataport). In addition, we describe the first experiments using standard neural networks from the literature to segment the moving areas annotated in ISSLIDE.


You can access the GRSL paper directly on IEEE Xplore but also on HAL.


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.