Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Luc Courtrai"'
Autor:
Marine Laval, Abdelbadie Belmouhcine, Luc Courtrai, Jacques Descloitres, Adán Salazar-Garibay, Léa Schamberger, Audrey Minghelli, Thierry Thibaut, René Dorville, Camille Mazoyer, Pascal Zongo, Cristèle Chevalier
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 1104 (2023)
Since 2011, the proliferation of brown macro-algae of the genus Sargassum has considerably increased in the North Tropical Atlantic Sea, all the way from the Gulf of Guinea to the Caribbean Sea and the Gulf of Mexico. The large amount of Sargassum ag
Externí odkaz:
https://doaj.org/article/c3aa692a9ac543b3bf462e5553770341
Publikováno v:
Remote Sensing, Vol 12, Iss 19, p 3152 (2020)
This article tackles the problem of detecting small objects in satellite or aerial remote sensing images by relying on super-resolution to increase image spatial resolution, thus the size and details of objects to be detected. We show how to improve
Externí odkaz:
https://doaj.org/article/2e659e8fea604695a50e1f483d0d67a6
Publikováno v:
Remote Sensing, Vol 12, Iss 15, p 2501 (2020)
Object detection from aerial and satellite remote sensing images has been an active research topic over the past decade. Thanks to the increase in computational resources and data availability, deep learning-based object detection methods have achiev
Externí odkaz:
https://doaj.org/article/c4cf81378e274e659a0285d3a5b35fa1
Publikováno v:
2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA)
2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA), Sep 2021, Zagreb, Croatia. pp.138-144, ⟨10.1109/ISPA52656.2021.9552062⟩
Congrès de Reconnaissance des Formes, Image, Apprentissage, Perception (RFIAP)
Congrès de Reconnaissance des Formes, Image, Apprentissage, Perception (RFIAP), 2022, Vannes, France
ISPA
2021 12th International Symposium on Image and Signal Processing and Analysis (ISPA), Sep 2021, Zagreb, Croatia. pp.138-144, ⟨10.1109/ISPA52656.2021.9552062⟩
Congrès de Reconnaissance des Formes, Image, Apprentissage, Perception (RFIAP)
Congrès de Reconnaissance des Formes, Image, Apprentissage, Perception (RFIAP), 2022, Vannes, France
ISPA
Simple Online and Real-time Tracking (SORT) and its deep extension (DeepSORT) are simple, fast, and effective multi-object tracking by detection frameworks. Their main strengths are simplicity and speed. However, they still suffer from some problems,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c688eb60152af0cccd2ea54ea148735e
https://hal.science/hal-03379508
https://hal.science/hal-03379508
Publikováno v:
IGARSS
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, United States. pp.260-263, ⟨10.1109/IGARSS39084.2020.9323236⟩
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, United States. pp.260-263, ⟨10.1109/IGARSS39084.2020.9323236⟩
In this paper, we investigate and improve the use of a super-resolution approach to benefit the detection of small objects from aerial and satellite remote sensing images. The main idea is to focus the super-resolution on target objects within the tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b602d4aa34b0379a1686f1348d79692
https://doi.org/10.1109/igarss39084.2020.9323236
https://doi.org/10.1109/igarss39084.2020.9323236
Publikováno v:
Remote Sensing; Volume 12; Issue 19; Pages: 3152
This article tackles the problem of detecting small objects in satellite or aerial remote sensing images by relying on super-resolution to increase image spatial resolution, thus the size and details of objects to be detected. We show how to improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::bc822b650c4ab3236f682cbb8d52033d
Publikováno v:
ISPRS International Workshop on Unmanned Aerial Vehicles in Geomatics (UAV-g)
ISPRS International Workshop on Unmanned Aerial Vehicles in Geomatics (UAV-g), 2019, Enschede, Netherlands. pp.303-308, ⟨10.5194/isprs-archives-XLII-2-W13-303-2019⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 303-308 (2019)
ISPRS International Workshop on Unmanned Aerial Vehicles in Geomatics (UAV-g), 2019, Enschede, Netherlands. pp.303-308, ⟨10.5194/isprs-archives-XLII-2-W13-303-2019⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 303-308 (2019)
This paper introduces a novel benchmarking tool for measuring the robustness of existing mosaicing algorithms in presence of a given set of disturbances. The process combines a set of partially overlapping images into a wide-view result used to repre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e88d5b73411e553b481b82ebfd91f3ee
https://hal.science/hal-02343897/document
https://hal.science/hal-02343897/document
Publikováno v:
ISPRS International Workshop on Unmanned Aerial Vehicles in Geomatics (UAV-g)
ISPRS International Workshop on Unmanned Aerial Vehicles in Geomatics (UAV-g), 2019, Enschede, Netherlands. pp.309-315, ⟨10.5194/isprs-archives-XLII-2-W13-309-2019⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 309-315 (2019)
ISPRS International Workshop on Unmanned Aerial Vehicles in Geomatics (UAV-g), 2019, Enschede, Netherlands. pp.309-315, ⟨10.5194/isprs-archives-XLII-2-W13-309-2019⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 309-315 (2019)
The recent development of automated UAV imaging applications for geomatics is leading to an unprecedented rapid growth in mosaic and DEM images. Newer, more advanced algorithms are being extensively studied to fulfill constantly increasing requiremen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41037e8d6facc31c142fdb4815bb99f5
https://hal.archives-ouvertes.fr/hal-02343921/document
https://hal.archives-ouvertes.fr/hal-02343921/document
Publikováno v:
VISIGRAPP (4: VISAPP)
International Conference on Computer Vision Theory and Applications (VISAPP)
International Conference on Computer Vision Theory and Applications (VISAPP), 2016, Rome, Italy
International Conference on Computer Vision Theory and Applications (VISAPP)
International Conference on Computer Vision Theory and Applications (VISAPP), 2016, Rome, Italy
International audience; Automatic human identification from aerial image time series or video sequences is a challenging issue. We propose here a complete processing chain that operates in the context of recreational shellfish gatherers counting in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c8c0de601c0f31ef7a31ffd4935f0b4
https://doi.org/10.5220/0005786506640671
https://doi.org/10.5220/0005786506640671
Autor:
Sébastien Lefèvre, Luc Courtrai
Publikováno v:
Pattern Recognition Letters
Pattern Recognition Letters, 2016, Special Issue on Advances in Pattern Recognition in Remote Sensing, 83, pp.195-204. ⟨10.1016/j.patrec.2016.05.014⟩
Pattern Recognition Letters, Elsevier, 2016, Special Issue on Advances in Pattern Recognition in Remote Sensing, 83, pp.195-204. ⟨10.1016/j.patrec.2016.05.014⟩
Pattern Recognition Letters, 2016, Special Issue on Advances in Pattern Recognition in Remote Sensing, 83, pp.195-204. ⟨10.1016/j.patrec.2016.05.014⟩
Pattern Recognition Letters, Elsevier, 2016, Special Issue on Advances in Pattern Recognition in Remote Sensing, 83, pp.195-204. ⟨10.1016/j.patrec.2016.05.014⟩
International audience; Roads are important elements in geographic information systems and remote sensing applications. Their automatic extraction is challenging when only aerial or satellite images are used. Recently, some promising attempts have be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dd990aedee2635ff120c7b958783e62
https://hal.science/hal-01320006/document
https://hal.science/hal-01320006/document