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1مؤتمرMETHANE PLUMES DETECTION ON PRISMA L1 IMAGES WITH THE ADJUSTED SPECTRAL MATCHED FILTER AND WIND DATA
المؤلفون: Ouerghi, E., Ehret, T., Facciolo, Gabriele, Meinhardt, E., Morel, J.-M., de Franchis, C., Lauvaux, T.
المساهمون: CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité), Kayrros, Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
المصدر: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium ; https://hal.science/hal-04497732Test ; IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Jul 2023, Pasadena, United States. pp.7598-7601, ⟨10.1109/IGARSS52108.2023.10282211⟩
مصطلحات موضوعية: Hyperspectral images Matched filter Wind data Methane Anomaly detection, Hyperspectral images, Matched filter, Wind data, Methane, Anomaly detection, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
جغرافية الموضوع: United States
الوقت: Pasadena, United States
العلاقة: hal-04497732; https://hal.science/hal-04497732Test; https://hal.science/hal-04497732/documentTest; https://hal.science/hal-04497732/file/IGARSS2023_CH4_prisma_L1.pdfTest
الإتاحة: https://doi.org/10.1109/IGARSS52108.2023.10282211Test
https://hal.science/hal-04497732Test
https://hal.science/hal-04497732/documentTest
https://hal.science/hal-04497732/file/IGARSS2023_CH4_prisma_L1.pdfTest -
2مؤتمرMachine Learning and Feature Extraction for Industrial Smoke Plumes Detection from Sentinel-2 Images
المؤلفون: Poucin, Florentin, Ouerghi, Elyes, Lajouanie, Simon, de Almeida Rodrigues, Hugo, Facciolo, Gabriele, de Franchis, Carlo, Hessel, Charles
المساهمون: Kayrros, CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité)
المصدر: 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023 )
https://hal.science/hal-04497731Test
2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023 ), Jul 2023, Pasadena, CA, United States. pp.6113-6116, ⟨10.1109/IGARSS52108.2023.10282662⟩مصطلحات موضوعية: Industrial plumes, Sentinel-2 images, Machine learning, Feature extraction, Pattern recognition, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [SDE.IE]Environmental Sciences/Environmental Engineering
جغرافية الموضوع: CA, United States
العلاقة: hal-04497731; https://hal.science/hal-04497731Test; https://hal.science/hal-04497731/documentTest; https://hal.science/hal-04497731/file/igarss2023_Smoke_Plume_Detection_v2.pdfTest
الإتاحة: https://doi.org/10.1109/IGARSS52108.2023.10282662Test
https://hal.science/hal-04497731Test
https://hal.science/hal-04497731/documentTest
https://hal.science/hal-04497731/file/igarss2023_Smoke_Plume_Detection_v2.pdfTest -
3مؤتمرMethane Plumes Detection on Prisma L1 Images with the Adjusted Spectral Matched Filter and Wind Data
المؤلفون: Ouerghi, E., Ehret, T., Facciolo, G., Meinhardt, E., Morel, J.-M., de Franchis, C., Lauvaux, T.
المساهمون: CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité), Kayrros, Groupe de spectrométrie moléculaire et atmosphérique (GSMA), Université de Reims Champagne-Ardenne (URCA)-Centre National de la Recherche Scientifique (CNRS)
المصدر: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium ; https://hal.science/hal-04497889Test ; IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Jul 2023, Pasadena, United States. pp.7598-7601, ⟨10.1109/IGARSS52108.2023.10282211⟩
مصطلحات موضوعية: Hyperspectral images, Matched filter, Wind data, Methane, Anomaly detection, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
جغرافية الموضوع: United States
الوقت: Pasadena, United States
العلاقة: hal-04497889; https://hal.science/hal-04497889Test; https://hal.science/hal-04497889/documentTest; https://hal.science/hal-04497889/file/IGARSS_2023_CH4_V2.pdfTest
الإتاحة: https://doi.org/10.1109/IGARSS52108.2023.10282211Test
https://hal.science/hal-04497889Test
https://hal.science/hal-04497889/documentTest
https://hal.science/hal-04497889/file/IGARSS_2023_CH4_V2.pdfTest -
4دورية أكاديمية
المؤلفون: Marí, Roger, Ehret, Thibaud, Facciolo, Gabriele
المساهمون: CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité)
المصدر: ISSN: 2105-1232 ; Image Processing On Line ; https://hal.science/hal-03877432Test ; Image Processing On Line, 2022, 12, pp.501-526. ⟨10.5201/ipol.2022.435⟩.
مصطلحات موضوعية: stereo matching, disparity estimation, deep learning, satellite images, aerial images, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
العلاقة: hal-03877432; https://hal.science/hal-03877432Test; https://hal.science/hal-03877432/documentTest; https://hal.science/hal-03877432/file/IPOL_DisparityEstimation2022.pdfTest
الإتاحة: https://doi.org/10.5201/ipol.2022.435Test
https://hal.science/hal-03877432Test
https://hal.science/hal-03877432/documentTest
https://hal.science/hal-03877432/file/IPOL_DisparityEstimation2022.pdfTest -
5مؤتمر
المؤلفون: Rodríguez, Mariano, Anger, Jérémy, de Franchis, Carlo, Hessel, Charles, Facciolo, Gabriele, Grompone von Gioi, Rafael, Morel, Jean-Michel
المساهمون: CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité)
المصدر: IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium ; https://hal.science/hal-03126940Test ; IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Jul 2021, Bruxelles, Belgium. ⟨10.1109/IGARSS47720.2021.9554059⟩
مصطلحات موضوعية: Cloud detector, CNN, single-band, panchromatic, satellite images, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]
العلاقة: hal-03126940; https://hal.science/hal-03126940Test; https://hal.science/hal-03126940/documentTest; https://hal.science/hal-03126940/file/main.pdfTest
الإتاحة: https://doi.org/10.1109/IGARSS47720.2021.9554059Test
https://hal.science/hal-03126940Test
https://hal.science/hal-03126940/documentTest
https://hal.science/hal-03126940/file/main.pdfTest -
6مؤتمر
المساهمون: CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité)
المصدر: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium
https://hal.science/hal-03895616Test
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Jul 2021, Brussels, Belgium. pp.4900-4903, ⟨10.1109/IGARSS47720.2021.9553048⟩مصطلحات موضوعية: object detection, satellite images, a contrario, Sentinel-2, oil tank, unsupervised classification, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
العلاقة: hal-03895616; https://hal.science/hal-03895616Test; https://hal.science/hal-03895616/documentTest; https://hal.science/hal-03895616/file/IGARSS_2021_PatchCompletion_final%20%281%29.pdfTest
الإتاحة: https://doi.org/10.1109/IGARSS47720.2021.9553048Test
https://hal.science/hal-03895616Test
https://hal.science/hal-03895616/documentTest
https://hal.science/hal-03895616/file/IGARSS_2021_PatchCompletion_final%20%281%29.pdfTest -
7مؤتمر
المؤلفون: Nguyen, Ngoc Long, Anger, Jeremy, Davy, Axel, Arias, Pablo, Facciolo, Gabriele
المساهمون: CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité), Kayrros, ANR-11-IDEX-0003,IPS,Idex Paris-Saclay(2011), ANR-17-ASTR-0013,Filmer la Terre en relief,Filmer la Terre en relief : Reconstruction 3D et détection de changement(2017)
المصدر: 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021)
https://hal.science/hal-04497748Test
2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021), Jul 2021, Bruxelles, Belgium. pp.3881-3884, ⟨10.1109/IGARSS47720.2021.9554479⟩مصطلحات موضوعية: multi-image super-resolution, satellite images, deep-learning, PROBA-V challenge, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
العلاقة: hal-04497748; https://hal.science/hal-04497748Test; https://hal.science/hal-04497748/documentTest; https://hal.science/hal-04497748/file/IGARSS2021_MFSR.pdfTest
الإتاحة: https://doi.org/10.1109/IGARSS47720.2021.9554479Test
https://hal.science/hal-04497748Test
https://hal.science/hal-04497748/documentTest
https://hal.science/hal-04497748/file/IGARSS2021_MFSR.pdfTest -
8دورية أكاديمية
المؤلفون: Marí, Roger, de Franchis, Carlo, Meinhardt-Llopis, Enric, Anger, Jérémy, Facciolo, Gabriele
المساهمون: CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité), ANR-11-IDEX-0003,IPS,Idex Paris-Saclay(2011)
المصدر: ISSN: 2105-1232 ; Image Processing On Line ; https://hal.science/hal-03877416Test ; Image Processing On Line, 2021, 11, pp.344-373. ⟨10.5201/ipol.2021.352⟩.
مصطلحات موضوعية: satellite images, bundle adjustment, RPC model, SkySat, 3D reconstruction, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
العلاقة: hal-03877416; https://hal.science/hal-03877416Test; https://hal.science/hal-03877416/documentTest; https://hal.science/hal-03877416/file/IPOL_BundleAdjustment2021.pdfTest
الإتاحة: https://doi.org/10.5201/ipol.2021.352Test
https://hal.science/hal-03877416Test
https://hal.science/hal-03877416/documentTest
https://hal.science/hal-03877416/file/IPOL_BundleAdjustment2021.pdfTest -
9رسالة جامعية
المؤلفون: Nguyen, Ngoc-Long
المساهمون: CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité), Université Paris-Saclay, Gabriele Facciolo, Pablo Arias
المصدر: https://theses.hal.science/tel-04485953Test ; Machine Learning [cs.LG]. Université Paris-Saclay, 2023. English. ⟨NNT : 2023UPASM024⟩.
مصطلحات موضوعية: Single-Image super-Resolution, Multi-Image super-Resolution, Self-Supervision, Deep learning, Remote sensing, Super-Résolution single-Images, Super-Résolution multi-Images, Auto-Supervision, Apprentissage profond, Télédétection, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
العلاقة: NNT: 2023UPASM024; tel-04485953; https://theses.hal.science/tel-04485953Test; https://theses.hal.science/tel-04485953/documentTest; https://theses.hal.science/tel-04485953/file/127170_NGUYEN_2023_archivage.pdfTest
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10رسالة جامعية
المؤلفون: Marí Molas, Roger
المساهمون: CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité), Université Paris-Saclay, Gabriele Facciolo, Enric Meinhardt-Llopis
المصدر: https://theses.hal.science/tel-04143750Test ; Computer Vision and Pattern Recognition [cs.CV]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASM045⟩.
مصطلحات موضوعية: Multi-View 3D reconstruction, Satellite images, Bundle adjustment, Neural rendering, Reconstruction 3D multi-vues, Images satellites, Ajustement de faisceaux, Rendu neuronal, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
العلاقة: NNT: 2022UPASM045; tel-04143750; https://theses.hal.science/tel-04143750Test; https://theses.hal.science/tel-04143750/documentTest; https://theses.hal.science/tel-04143750/file/118158_MARI_MOLAS_2022_archivage.pdfTest
