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Joint inpainting of depth and reflectance with visibility estimation / Marco Bevilacqua in ISPRS Journal of photogrammetry and remote sensing, vol 125 (March 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 125 (March 2017) . - pp 16 - 32 Titre : Joint inpainting of depth and reflectance with visibility estimation Type de document : Article/Communication Auteurs : Marco Bevilacqua, Auteur ; Jean-François Aujol, Auteur ; Pierre Biasutti , Auteur ; Mathieu Brédif , Auteur ; Aurélie Bugeau, Auteur Année de publication : 2017 Projets : 1-Pas de projet / Article en page(s) : pp 16 - 32 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] carte de profondeur [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] image en couleur [Termes IGN] inpainting [Termes IGN] point caché [Termes IGN] réflectance [Termes IGN] semis de points [Termes IGN] visibilité Résumé : (Auteur) This paper presents a novel strategy to generate, from 3-D lidar measures, dense depth and reflectance images coherent with given color images. It also estimates for each pixel of the input images a visibility attribute. 3-D lidar measures carry multiple information, e.g. relative distances to the sensor (from which we can compute depths) and reflectances. When projecting a lidar point cloud onto a reference image plane, we generally obtain sparse images, due to undersampling. Moreover, lidar and image sensor positions typically differ during acquisition; therefore points belonging to objects that are hidden from the image view point might appear in the lidar images. The proposed algorithm estimates the complete depth and reflectance images, while concurrently excluding those hidden points. It consists in solving a joint (depth and reflectance) variational image inpainting problem, with an extra variable to concurrently estimate handling the selection of visible points. As regularizers, two coupled total variation terms are included to match, two by two, the depth, reflectance, and color image gradients. We compare our algorithm with other image-guided depth upsampling methods, and show that, when dealing with real data, it produces better inpainted images, by solving the visibility issue. Numéro de notice : A2017-073 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.01.005 Date de publication en ligne : 17/01/2017 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2017.01.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84310 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2017031	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2017033	DEP-EXM	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2017032	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Assessing the impacts of canopy openness and flight parameters on detecting a sub-canopy tropical invasive plant using a small unmanned aerial system / Ryan L. Perroy in ISPRS Journal of photogrammetry and remote sensing, vol 125 (March 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 125 (March 2017) . - pp 174 - 183 Titre : Assessing the impacts of canopy openness and flight parameters on detecting a sub-canopy tropical invasive plant using a small unmanned aerial system Type de document : Article/Communication Auteurs : Ryan L. Perroy, Auteur ; Timo Sullivan, Auteur ; Nathan Stephenson, Auteur Année de publication : 2017 Article en page(s) : pp 174 - 183 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] acquisition d'images [Termes IGN] drone [Termes IGN] espèce exotique envahissante [Termes IGN] migration de plantes [Termes IGN] plan de vol [Termes IGN] sous-étage Résumé : (Auteur) Small unmanned aerial systems (sUAS) have great potential to facilitate the early detection and management of invasive plants. Here we show how very high-resolution optical imagery, collected from small consumer-grade multirotor UAS platform at altitudes of 30–120 m above ground level (agl), can be used to detect individual miconia (Miconia calvescens) plants in a highly invaded tropical rainforest environment on the island of Hawai‘i. The central aim of this research was to determine how overstory vegetation cover, imagery resolution, and camera look-angle impact the aerial detection of known individual miconia plants. For our finest resolution imagery (1.37 cm ground sampling distance collected at 30 m agl), we obtained a 100% detection rate for sub-canopy plants with above-crown openness values >40% and a 69% detection rate for those with >20% openness. We were unable to detect any plants with Numéro de notice : A2017-074 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.01.018 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2017.01.018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84324 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2017031	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2017033	DEP-EXM	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2017032	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking: Advantages in avoiding the crossing of buildings / Dongliang Wang in ISPRS Journal of photogrammetry and remote sensing, vol 125 (March 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 125 (March 2017) . - pp 207 - 224 Titre : Using vector building maps to aid in generating seams for low-attitude aerial orthoimage mosaicking: Advantages in avoiding the crossing of buildings Type de document : Article/Communication Auteurs : Dongliang Wang, Auteur ; Wei Cao, Auteur ; Xiaoping Xin, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 207 - 224 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] axe médian [Termes IGN] bâtiment [Termes IGN] données vectorielles [Termes IGN] géométrie vectorielle [Termes IGN] image aérienne [Termes IGN] mosaïquage d'images [Termes IGN] orthoimage [Termes IGN] orthophotoplan numérique Résumé : (Auteur) A novel seam detection approach based on vector building maps is presented for low-attitude aerial orthoimage mosaicking. The approach tracks the centerlines between vector buildings to generate the candidate seams that avoid crossing buildings existing in maps. The candidate seams are then refined by considering their surrounding pixels to minimize the visual transition between the images to be mosaicked. After the refinement of the candidate seams, the final seams further bypass most of the buildings that are not updated into vector maps. Finally, three groups of aerial imagery from different urban densities are employed to test the proposed approach. The experimental results illustrate the advantages of the proposed approach in avoiding the crossing of buildings. The computational efficiency of the proposed approach is also significantly higher than that of Dijkstra’s algorithm. Numéro de notice : A2017-075 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.01.015 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2017.01.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84326 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2017031	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2017033	DEP-EXM	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2017032	DEP-EAF	Revue	Nancy	Dépôt en unité	Exclu du prêt