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Midrange geometric interactions for semantic segmentation / Julia Diebold in International journal of computer vision, vol 117 n° 3 (May 2016)
[article]
Titre : Midrange geometric interactions for semantic segmentation Type de document : Article/Communication Auteurs : Julia Diebold, Auteur ; Claudia Nieuwenhuis, Auteur ; Daniel Cremers, Auteur Année de publication : 2016 Article en page(s) : pp 199 - 225 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] contrainte géométrique
[Termes IGN] direction de visée
[Termes IGN] segmentation d'image
[Termes IGN] valeur moyenneRésumé : (Auteur) In this article we introduce the concept of midrange geometric constraints into semantic segmentation. We call these constraints ‘midrange’ since they are neither global constraints, which take into account all pixels without any spatial limitation, nor are they local constraints, which only regard single pixels or pairwise relations. Instead, the proposed constraints allow to discourage the occurrence of labels in the vicinity of each other, e.g., ‘wolf’ and ‘sheep’. ‘Vicinity’ encompasses spatial distance as well as specific spatial directions simultaneously, e.g., ‘plates’ are found directly above ‘tables’, but do not fly over them. It is up to the user to specifically define the spatial extent of the constraint between each two labels. Such constraints are not only interesting for scene segmentation, but also for part-based articulated or rigid objects. The reason is that object parts such as for example arms, torso and legs usually obey specific spatial rules, which are among the few things that remain valid for articulated objects over many images and which can be expressed in terms of the proposed midrange constraints, i.e. closeness and/or direction. We show, how midrange geometric constraints are formulated within a continuous multi-label optimization framework, and we give a convex relaxation, which allows us to find globally optimal solutions of the relaxed problem independent of the initialization. Numéro de notice : A2016--140 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007%2Fs11263-015-0828-7 En ligne : https://doi.org/10.1007/s11263-015-0828-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85868
in International journal of computer vision > vol 117 n° 3 (May 2016) . - pp 199 - 225[article]Filtering airborne lidar data by modified white top-hat transform with directional edge constraints / Yong Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 2 (February 2014)
[article]
Titre : Filtering airborne lidar data by modified white top-hat transform with directional edge constraints Type de document : Article/Communication Auteurs : Yong Li, Auteur ; Bin Yong, Auteur ; Huayi Wu, Auteur Année de publication : 2014 Article en page(s) : pp 133 - 141 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] contrainte géométrique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] morphologie mathématique
[Termes IGN] objet géographique ponctuel
[Termes IGN] programmation par contraintes
[Termes IGN] sous-solRésumé : (Auteur) A novel algorithm that employs modified white top-hat (MWTH) transform with directional edge constraints is proposed in this study to automatically extract ground points from airborne light detection and ranging (lidar) data. MWTH transform can effectively distinguish above-ground objects that are smaller than the window size and higher than the height difference threshold. Directional edge constraints significantly decrease omission errors from protruding ground features. Incorporating MWTH transform and directional edge constraints enables the simultaneous consideration of the size, height, and edge characteristics of lidar data for judging above-ground objects. Experimental results verify that the proposed algorithm exhibits promising performance and high accuracy in various complicated landscapes, even in areas with dramatic changes in elevation. The proposed algorithm has minimal omission and commission error oscillation for different test sites, thereby demonstrating its stability and reliability in a wide range of applications. Numéro de notice : A2014-108 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.2.133-141 En ligne : https://doi.org/10.14358/PERS.80.2.133-141 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33013
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 2 (February 2014) . - pp 133 - 141[article]A fully constrained linear spectral unmixing algorithm based on distance geometry / Hanye Pu in IEEE Transactions on geoscience and remote sensing, vol 52 n° 2 (February 2014)
[article]
Titre : A fully constrained linear spectral unmixing algorithm based on distance geometry Type de document : Article/Communication Auteurs : Hanye Pu, Auteur ; Wei Xia, Auteur ; Bin Wang, Auteur ; Geng-Ming Jiang, Auteur Année de publication : 2014 Article en page(s) : pp 1157 - 176 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] contrainte géométrique
[Termes IGN] distance euclidienne
[Termes IGN] estimation statistique
[Termes IGN] méthode de Monte-CarloRésumé : (Auteur) Under the linear spectral mixture model, hyperspectral unmixing can be considered as a convex geometry problem, in which the endmembers are located in the vertices of simplex enclosing the hyperspectral data set and the barycentric coordinates of observation pixels with respect to the simplex correspond to the abundances of endmembers. Based on distance geometry theory, in this paper we propose a new approach for abundance estimation of mixed pixels in hyperspectral images. With the endmember signatures, which is known a priori or can be obtained from the endmember extraction algorithms, the proposed method automatically estimates the abundances of endmembers at each pixel using convex geometry concepts and distance geometry constraints. In the algorithm, denoting the pairwise distances with Cayley-Menger matrix makes it easy to calculate the barycentric coordinates of the observation pixels. Another characteristic of this algorithm is that the optimal estimated points of observation pixels as well as the least distortion in geometric structure of original data set can be obtained with the distance geometry constraint. Simultaneously, the use of barycenter of simplex builds an accurate and efficient method to estimate endmembers with zero abundance and, as a result, the subsimplex containing the estimated points is obtained. A comparative study and analysis based on Monte Carlo simulations and real data experiments is conducted among the proposed algorithm and three state-of-the-art algorithms: fully constrained least squares (FCLS), FCLS computed using constrained sparse unmixing by variable splitting and augmented Lagrangian, and simplex-projection unmixing (SPU). The experimental results show that the proposed algorithm always provides the best unmixing accuracy and when the number of endmembers is not very large the algorithm has a lower computational complexity. Numéro de notice : A2014-074 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2248013 En ligne : https://doi.org/10.1109/TGRS.2013.2248013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32979
in IEEE Transactions on geoscience and remote sensing > vol 52 n° 2 (February 2014) . - pp 1157 - 176[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Mesure de précision dans un cadre hostile / Michel Ravelet in Géomètre, n° 2110 (janvier 2014)
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Titre : Mesure de précision dans un cadre hostile Type de document : Article/Communication Auteurs : Michel Ravelet, Auteur Année de publication : 2014 Article en page(s) : pp 16 - 17 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] construction
[Termes IGN] contrainte géométrique
[Termes IGN] géopositionnement
[Termes IGN] Metz (57)
[Termes IGN] musée
[Termes IGN] surveillance d'ouvrage
[Termes IGN] théodoliteRésumé : (Auteur) Réaliser des mesures de précision dans un environnement hostile nécessite de trouver des solutions techniques qui révèlent tout l'art de la mesure du géomètre-expert. Exemple du chantier au centre Pompidou à Metz. Numéro de notice : A2014-053 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32958
in Géomètre > n° 2110 (janvier 2014) . - pp 16 - 17[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 063-2014011 RAB Revue Centre de documentation En réserve L003 Disponible Boundary-constrained multi-scale segmentation method for remote sensing images / Xueliang Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)
[article]
Titre : Boundary-constrained multi-scale segmentation method for remote sensing images Type de document : Article/Communication Auteurs : Xueliang Zhang, Auteur ; Pengfeng Xiao, Auteur ; Xiaoqun Song, Auteur Année de publication : 2013 Article en page(s) : pp 15 - 25 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] contrainte géométrique
[Termes IGN] données multiéchelles
[Termes IGN] image Quickbird
[Termes IGN] image Worldview
[Termes IGN] segmentation d'imageRésumé : (Auteur) Image segmentation is the key step of Object-Based Image Analysis (OBIA) in remote sensing. This paper proposes a Boundary-Constrained Multi-Scale Segmentation (BCMS) method. Firstly, adjacent pixels are aggregated to generate initial segmentation according to the local best region growing strategy. Then, the Region Adjacency Graph (RAG) is built based on initial segmentation. Finally, the local mutual best region merging strategy is applied on RAG to produce multi-scale segmentation results. During the region merging process, a Step-Wise Scale Parameter (SWSP) strategy is proposed to produce boundary-constrained multi-scale segmentation results. Moreover, in order to improve the accuracy of object boundaries, the property of edge strength is introduced as a merging criterion. A set of high spatial resolution remote sensing images is used in the experiment, e.g., QuickBird, WorldView, and aerial image, to evaluate the effectiveness of the proposed method. The segmentation results of BCMS are compared with those of the commercial image analysis software eCognition. The experiment shows that BCMS can produce nested multi-scale segmentations with accurate and smooth boundaries, which proves the robustness of the proposed method. Numéro de notice : A2013-177 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.01.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.01.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32315
in ISPRS Journal of photogrammetry and remote sensing > vol 78 (April 2013) . - pp 15 - 25[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013041 RAB Revue Centre de documentation En réserve L003 Disponible A comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs / Ali Hosseininaveh Ahmadabadian in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)PermalinkInner constraints for planar features / Derek D. Lichti in Photogrammetric record, vol 28 n° 141 (March - May 2013)PermalinkAssessing data completeness of VGI through an automated matching procedure for linear data / T. Koukoletsos in Transactions in GIS, vol 16 n° 4 (August 2012)PermalinkAutomatic reasoning for geometric constraints in 3D city models with uncertain observations / S. Loch-Dehbi in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 2 (March - April 2011)PermalinkCamera calibration with baseline distance constraints / J. Lerma in Photogrammetric record, vol 25 n° 130 (June - August 2010)PermalinkGeneration of complex polyhedral building models by integrating stereo-aerial imagery and Lidar data / A. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 5 (May 2010)Permalinkvol 64 n° 3 - May - June 2009 - Image analysis and image engineering in close range photogrammetry (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Hans-Gerd MaasPermalinkLine features between object space and image space / Jen-Jer Jaw in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)PermalinkOrthoimage creation of extremely high buildings / Guoqing Zhou in IEEE Transactions on geoscience and remote sensing, vol 46 n° 12 (December 2008)PermalinkSize-Constrained Region Merging (SCRM): an automated delineation tool for assisted photointerpretation / G. Castilla in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 4 (April 2008)Permalink