Détail de l'auteur
Auteur Niccolò Dematteis |
Documents disponibles écrits par cet auteur (2)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
Fast local adaptive multiscale image matching algorithm for remote sensing image correlation / Niccolò Dematteis in Computers & geosciences, vol 159 (February 2022)
[article]
Titre : Fast local adaptive multiscale image matching algorithm for remote sensing image correlation Type de document : Article/Communication Auteurs : Niccolò Dematteis, Auteur ; Daniele Giordan, Auteur ; Bruno Crippa, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 104988 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] appariement automatique
[Termes IGN] appariement d'images
[Termes IGN] données multiéchelles
[Termes IGN] fonte des glaces
[Termes IGN] glacier
[Termes IGN] image Sentinel-MSI
[Termes IGN] implémentation (informatique)
[Termes IGN] Matlab
[Termes IGN] PatagonieRésumé : (auteur) Various studies have shown that image correlation calculated in the space domain outperforms frequency-based methods. However, such an approach usually requires great computational efforts, making it challenging to adopt for surveying fast moving processes like glaciers, particularly over wide areas. We present a local adaptive multiscale image matching algorithm (LAMMA), which repeatedly applies image correlation on grids of increasing spatial resolution and adapts the size of the interrogation area according to the local range of displacements. LAMMA allows reducing the number of calculi of several orders of magnitude and limits the occurrence of displacement outliers. We show an example of LAMMA application on Sentinel-2 images to measure glaciers flow of the Southern Patagonian Icefield, where LAMMA's runtime was comparable to that of frequency-based correlation. LAMMA's Matlab code is freely available on GitHub. Numéro de notice : A2022-094 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.cageo.2021.104988 Date de publication en ligne : 19/11/2021 En ligne : https://doi.org/10.1016/j.cageo.2021.104988 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99528
in Computers & geosciences > vol 159 (February 2022) . - n° 104988[article]
Titre : Glaciers and the polar environment Type de document : Monographie Auteurs : Masaki Kanao, Éditeur scientifique ; Danilo Godone, Éditeur scientifique ; Niccolò Dematteis, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2021 Importance : 580 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-83962-594-7 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Antarctique
[Termes IGN] apprentissage automatique
[Termes IGN] changement climatique
[Termes IGN] filtre de Kalman
[Termes IGN] flore locale
[Termes IGN] fonte des glaces
[Termes IGN] géomorphologie
[Termes IGN] glacier
[Termes IGN] image aérienne
[Termes IGN] image spatiale
[Termes IGN] zone polaireRésumé : (Editeur) Glaciers and Polar regions provide important clues to understanding the past and present status of the Earth system, as well as to predict future forms of our planet. In particular, Antarctica, composed of an ice-covered continent in its center and the surrounding Sothern Ocean, has been gradually investigated during the last half century by all kinds of scientific branches; bioscience, physical sciences, geoscience, oceanography, environmental studies, together with technological components. This book covers topics on the recent development of all kinds of scientific research on glaciers and Antarctica, in the context of currently on-going processes in the extreme environment in polar regions. Note de contenu : 1. Gas Hydrates in Antarctica
2. Geomorphological Insight of Some Ice Free Areas of Eastern Antarctica
3. Kalman Filter Harmonic Bank for Vostok Ice Core Data Analysis and Climate Predictions
4. The Vegetation of the South Shetland Islands and the Climatic Change
5. Whales as Indicators of Historical and Current Changes in the Marine Ecosystem of the Indo-Pacific Sector of the Antarctic
6. Risks of Glaciers Lakes Outburst Flood along China Pakistan Economic Corridor
7. Close-Range Sensing of Alpine Glaciers
8. Glacial Biodiversity: Lessons from Ground-dwelling and Aquatic Insects
9. Variations of Lys Glacier (Monte Rosa Massif, Italy) from the Little Ice Age to the Present from Historical and Remote Sensing DatasetsNuméro de notice : 26671 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.87447 Date de publication en ligne : 24/02/2021 En ligne : https://doi.org/10.5772/intechopen.87447 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98928