Publications

Thesis Manuscript

• Deep Learning for Multimodal Detection of Sudden and Slow Moving Slope Instabilities on Bitemporal Remote Sensing Images, Bralet, A., 2024

Journal Papers

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

Conference Papers

• DEM-Assisted Neural Network for SAR-to-Optical Image Translation, Bralet, A., Ngo, T. N., Trouvé, E., Chanussot, J., & Atto, A. M., IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 7649-7652
• Impact de la stratégie de décodage sur la traduction de modalité radar-optique d'images de télédétection, Bralet, A., Atto, A., Chanussot, J., & Trouvé, E., number 2023-1309, pages p. 929–932, Grenoble. GRETSI - Groupe de Recherche en Traitement du Signal et des Images
Code available : GitHub
• Deep Learning of Radiometrical and Geometrical Sar Distorsions for Image Modality translations, Bralet, A., Atto, A. M., Chanussot, J., & Trouvé, E. (2022, October). In 2022 IEEE International Conference on Image Processing (ICIP) (pp. 1766-1770). Bordeaux, France. IEEE.
Code available : GitHub
• Local Surf-Based Keypoint Transfer Segmentation, Bralet, A., Kéchichian, R., & Valette, S. (2021, April). In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (pp. 1390-1393). IEEE.

Datasets

• Multimodal Remote Sensing Dataset for Landslide Change Detection in Haiti Bralet, A., Trouvé, E., Chanussot, J., & Atto, A. M., July 14, 2024, IEEE Dataport, doi: https://dx.doi.org/10.21227/4heb-7h07.
• SAR-DEM-Optical Mountainous Dataset for Distortion Management Bralet, A., Ngo, T. N., Trouvé, E., Chanussot, J., & Atto, A. M., January 3, 2024, IEEE Dataport, doi: https://dx.doi.org/10.21227/16ce-ce92.
• ISSLIDE: InSAR dataset for Slow SLIding area DEtection with machine learning, Bralet, A., Trouvé, E., Chanussot, J., & Atto, A. M., September 22, 2023, IEEE Dataport, doi: https://dx.doi.org/10.21227/dhxt-5g91.

Other communications

• Towards a multi-Modal, multi-Temporal and multi-Phenomena dataset for natural phenomena observation through deep learning, Bralet, A., Atto, A. M., Chanussot, J., & Trouvé, E. First proposed in 2022 Mesure de la Déformation par Imagerie Satellitaire (MDIS).