Intégration sémantique de données Raster pour l'observation de la Terre sur des unités territoriales

Autor: Tran, Ba-Huy, Aussenac-Gilles, Nathalie, Trojahn, Cassia, Comparot, Catherine

Publikováno v: IC 2022 : Journées Francophones d'Ingénierie des connaissances @ PFIA 2022
33èmes Journées Francophones d'Ingénierie des Connaissances (IC 2022)
33èmes Journées Francophones d'Ingénierie des Connaissances (IC 2022), Jun 2022, Saint-Etienne, France. pp.92-94

In Earth Observation, the raster format, standard for data and image representation, is not well suited to characterize areas of interest by pixel values alone. We propose to semantically integrate raster data with other data according to their spati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::57300fb2453fda7bb4dd800549764eda
https://hal.science/hal-03760543/file/IC_CANDELA_resume_2022.pdf

Supervised classification methods for automatic damage detection caused by heavy rainfall using multitemporal high resolution optical imagery and auxiliary data

Autor: A. Cerbelaud, L. Roupioz, G. Blanchet, P. Breil, X. Briottet

Publikováno v: XXIV ISPRS Congress (2021 edition)
XXIV ISPRS Congress (2021 edition), Jul 2021, Nice, France. pp.693-700, ⟨10.5194/isprs-archives-XLIII-B3-2021-693-2021⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2021, Pp 693-700 (2021)

International audience; In the context of climate change and rising frequency of extreme hydro-meteorological events around the world, flood risk management and mapping of heavy rainfall-related damages represent an ongoing critical challenge. For de

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f53b5f2f325e6107733b69291592338
https://hal.archives-ouvertes.fr/hal-03278464

Exploitation of Sentinel-2 images for long-term vegetation monitoring at a former ore processing site

Autor: Fabre, Sophie, Elger, Arnaud, Riviere, Thomas

Publikováno v: ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, XLIII-B3-2020, pp.1533-1537. ⟨10.5194/isprs-archives-xliii-b3-2020-1533-2020⟩

International audience; Excess metals in the soil or in plant tissues tend to have negative effects on plant health, growth, and biomass accumulation. The search for stressed or unusual growth patterns in cover vegetation has been enhanced by the use

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::1a3d017aaf8ff8871b6a84f737d13874
https://hal.archives-ouvertes.fr/hal-03185689

Surveillance dynamique de mesures

Autor: Miallaret, Sophie

Publikováno v: Statistiques [math.ST]. Université Clermont Auvergne [2017-2020], 2019. Français. ⟨NNT : 2019CLFAC091⟩

The measures are daily actions, they give us a lot of information and allow us to make decisions. The analysis of measures can allow us to learn more about our environment, but the error of a measure can have important consequences in certain areas.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::976bacfad41a448d1cc0ab63c41f6074
https://theses.hal.science/tel-02866517

Modeling of static or moving complex backgrounds : application to rare event detection in image sequences

Autor: Davy, Axel

Publikováno v: Mathématiques générales [math.GM]. Université Paris Saclay (COmUE), 2019. Français. ⟨NNT : 2019SACLN048⟩

The first part of this thesis is dedicated to the modeling of image or video backgrounds, applied to anomaly detection. In the case of anomaly detection on a single image, our analysis leads us to find five different families of structural assumption

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7d1fb5ba9cf006dbbac5d9c68e3cae06
https://tel.archives-ouvertes.fr/tel-02429307v2/document