Modélisation de texture basée sur les ondelettes pour la détection de parcelles viticoles à partir d'images Pléiades panchromatiques

Autor: Olivier Regniers, Lionel Bombrun, Christian Germain

Publikováno v: Revue Française de Photogrammétrie et de Télédétection, Iss 208 (2014)

Cette étude évalue le potentiel des modèles de texture SIRV sur ondelettes pour la détection de parcelles viticoles dans les images à très haute résolution de type PLEIADES et compare les performances de ces modèles avec des méthodes de réf

Externí odkaz: https://doaj.org/article/6a20912d16bc48259a9b40a6f21db2e2

Structure Tensor Riemannian Statistical Models for CBIR and Classification of Remote Sensing Images

Autor: Marc Donias, Lionel Bombrun, Roxana Rosu, Salem Said, Jean-Pierre da Costa, Olivier Regniers

Publikováno v: IEEE Transactions on Geoscience and Remote Sensing. 55:248-260

This paper deals with parametric techniques for the description of texture on very high resolution (VHR) remote sensing images. These techniques focus on the property of anisotropy as described by the local structure tensor (LST). The novelty of this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a99dcf42b7880b514dbe1a99a7ce062a
https://doi.org/10.1109/tgrs.2016.2604680

A semantic representation of EO data for image retrieval based on natural language queries

Autor: Milto Miltiadou, Vito De Pasquale, Pol Kolokoussis, Marco Polignano, Anastasia Sarelli, Marco de Gemmis, Bogdan Despotov, Kleanthis Karamvasis, Vasilis Kopsacheilis, Michail Vaitis, Dominik Grether, Ilias Ioannou, Virginie Lafon, Sergio Samarelli, Olivier Regniers, Konstantinos Topouzelis, Jenny Malig, Christiana Papoutsa

Publikováno v: Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018).

SEO-DWARF (Semantic Earth Observation Data Web Alert and Retrieval Framework) is a project funded by the European Union Horizon 2020 research and innovation programme. The main objective of the project is to realize the content-based search of Earth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd8852d894e2defba7bf0fccb0d53cd8
https://doi.org/10.1117/12.2325839

Texture retrieval from very high resolution remote sensing images using local extrema-based descriptors

Autor: Minh-Tan Pham, Olivier Regniers, Lionel Bombrun, Julien Michel, Gregoire Mercier

Publikováno v: IGARSS 2016-2016 IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2016-2016 IEEE International Geoscience and Remote Sensing Symposium, Jul 2016, Beijing, France. ⟨10.1109/IGARSS.2016.7729472⟩
IGARSS

This paper proposes a novel approach for texture-based image indexing and retrieval in the scope of very high resolution (VHR) optical imagery. Our motivation is to take into account local textural features and structures inside each image to measure

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62225013e36b6bece0ae638ae31a10f2
https://hal.science/hal-01710222

Classification of oyster habitats by combining wavelet-based texture features and polarimetric SAR descriptors

Autor: Virginie Lafon, Christian Germain, Ioana Ilea, Olivier Regniers, Lionel Bombrun

Publikováno v: IGARSS

In this study, we propose to evaluate the potential of combining very high resolution optical and SAR images for the classification of oyster habitats in tidal flats. To describe the classes of interest in both data, features are extracted by using w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9261ace0936f536fbe88f1a1206bffe2
https://doi.org/10.1109/igarss.2015.7326674