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Semi-supervised classification for hyperspectral imagery based on spatial-spectral Label Propagation / L. Wang in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 97 (November 2014) . - pp 123 – 137 Titre : Semi-supervised classification for hyperspectral imagery based on spatial-spectral Label Propagation Type de document : Article/Communication Auteurs : L. Wang, Auteur ; Siyuan Hao, Auteur ; Q. Wang, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 123 – 137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification semi-dirigée [Termes IGN] filtre de Gabor [Termes IGN] graphe [Termes IGN] image hyperspectrale Résumé : (Auteur) Graph-based classification algorithms have gained increasing attention in semi-supervised classification. Nevertheless, the graph cannot fully represent the inherent spatial distribution of the data. In this paper, a new classification methodology based on the spatial-spectral Label Propagation is proposed for semi-supervised classification of hyperspectral imagery. The spatial information was used in two aspects: on the one hand, the spatial features extracted by a 2-D Gabor filter were stacked with spectral features; on the other hand, the width of the Gaussian function, which was used to construct graph, was determined with an adaptive method. Subsequently, the unlabeled samples from the spatial neighbors of the labeled samples were selected and the spatial graph was constructed based on spatial smoothness. Finally, labels were propagated from labeled samples to unlabeled samples with spatial-spectral graph to update the training set for a basic classifier (e.g., Support Vector Machine, SVM). Experiments on four hyperspectral datasets show that the proposed Spatial-Spectral Label Propagation based on the SVM (SS-LPSVM) can effectively represent the spatial information in the framework of semi-supervised learning and consistently produces greater classification accuracy than the standard SVM, the Laplacian Support Vector Machine (LapSVM), Transductive Support Vector Machine (TSVM) and the Spatial-Contextual Semi-Supervised Support Vector Machine (SCS3VM). Numéro de notice : A2014-527 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.08.016 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.08.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74140 [article]

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081-2014111	RAB	Revue	Centre de documentation	En réserve L003	Disponible

SAR change detection based on intensity and texture changes / Maoguo Gong in ISPRS Journal of photogrammetry and remote sensing, vol 93 (July 2014)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 93 (July 2014) . - pp. 123 - 135 Titre : SAR change detection based on intensity and texture changes Type de document : Article/Communication Auteurs : Maoguo Gong, Auteur ; Yu Li, Auteur ; Licheng Jiao, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp. 123 - 135 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] graphe [Termes IGN] image radar moirée [Termes IGN] texture d'image Résumé : (Auteur)In this paper, a novel change detection approach is proposed for multitemporal synthetic aperture radar (SAR) images. The approach is based on two difference images, which are constructed through intensity and texture information, respectively. In the extraction of the texture differences, robust principal component analysis technique is used to separate irrelevant and noisy elements from Gabor responses. Then graph cuts are improved by a novel energy function based on multivariate generalized Gaussian model for more accurately fitting. The effectiveness of the proposed method is proved by the experiment results obtained on several real SAR images data sets. Numéro de notice : A2014-331 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.04.010 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.04.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73698 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2014071	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Knowledge and reasoning in spatial analysis / Andreas Hall in Transactions in GIS, vol 18 n° 3 (June 2014)  

Public [article]  inTransactions in GIS > vol 18 n° 3 (June 2014) . - pp 464 - 476 Titre : Knowledge and reasoning in spatial analysis Type de document : Article/Communication Auteurs : Andreas Hall, Auteur ; Paula Ahonen-Rainio, Auteur ; Kirsi Virrantaus, Auteur Année de publication : 2014 Article en page(s) : pp 464 - 476 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse spatiale [Termes IGN] analyse visuelle [Termes IGN] cognition [Termes IGN] graphe [Termes IGN] mobilité urbaine [Termes IGN] processus [Termes IGN] raisonnement spatial Résumé : (Auteur) Reasoning is an essential part of any analysis process. Especially in visual analytics, the quality of the results depends heavily on the knowledge and reasoning skills of the analyst. In this study, we consider how to make the results transparent by visualizing the reasoning and the knowledge, so that persons from outside can trace and verify them. The focus of this study is in spatial analysis and a case study was carried out on a process of off-road mobility analysis. In the case study, linked views of a map and a PCP were identified as reasoning artifacts. The knowledge used by the analyst was formed by these artifacts and the tangible pieces of information identified in them, along with the mental models of the analyst's mind. To make the results transparent, the tangible pieces of information were marked with sketches and the mental models were presented in causal graphs because it was found that causality was central to the reasoning process in the case study. The causal graph allows the reasoning of the analyst to be studied, as well as traced back to its origin. Numéro de notice : A2014-274 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12049 Date de publication en ligne : 14/08/2013 En ligne : https://doi.org/10.1111/tgis.12049 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33177 [article]

Matching old hydrographic vector data from Cassini's maps / Benoit Costes in e-Perimetron, vol 9 n° 2 ([01/05/2014])    

Public [article]  ine-Perimetron > vol 9 n° 2 [01/05/2014] . - pp 51 - 65 Titre : Matching old hydrographic vector data from Cassini's maps Type de document : Article/Communication Auteurs : Benoit Costes , Auteur Année de publication : 2014 Article en page(s) : pp 51 - 65 Note générale : bibliographie Article issu d'une communication présentée au 8th International Workshop on Digital Approaches to Cartographic Heritage, 19-20 September 2013, Roma Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] analyse multicritère [Termes IGN] appariement de réseaux [Termes IGN] carte de Cassini [Termes IGN] graphe [Termes IGN] processus de hiérarchisation analytique [Termes IGN] réseau hydrographique Résumé : (auteur) This article focuses on the process of matching old hydrographic networks extracted from Cassini maps. The inherent specificities of such data make conventional methods for matching networks inefficient. We propose a novel hierarchical approach to match hydrographic networks, by extracting natural structures called strokes. Each stroke is then classified according to its weight in terms of hydrographic structure within the graph. The hierarchical selection of candidates and the use of a multi-criteria decision making process (AHP) constitute a good strategy to match imperfect hydrographic networks. Numéro de notice : A2014-659 Affiliation des auteurs : LASTIG COGIT (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans En ligne : http://www.e-perimetron.org/Vol_9_2/Vol9_2.htm Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78550 [article]

Documents numériques

en open access Matching old hydrographic vector data from Cassini's maps Adobe Acrobat PDF

The largest empty rectangle containing only a query object in Spatial Databases / Gilberto Gutiérrez in Geoinformatica, vol 18 n° 2 (April 2014)  

Public [article]  inGeoinformatica > vol 18 n° 2 (April 2014) . - pp 193 - 228 Titre : The largest empty rectangle containing only a query object in Spatial Databases Type de document : Article/Communication Auteurs : Gilberto Gutiérrez, Auteur ; José R. Paramá, Auteur ; Nieves Brisaboa, Auteur ; Antonio Corral, Auteur Année de publication : 2014 Article en page(s) : pp 193 - 228 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] arbre-R [Termes IGN] base de données localisées [Termes IGN] classification automatique d'objets [Termes IGN] indexation spatiale [Termes IGN] requête spatiale [Termes IGN] traitement automatique de données Résumé : (Auteur) Let S be a set of n points in a fixed axis-parallel rectangle R Í R2 , i.e. in the two-dimensional space (2D). Assuming that those points are stored in an R-tree, this paper presents several algorithms for finding the empty rectangle in R with the largest area, sides parallel to the axes of the space, and containing only a query point q. This point can not be part of S, that is, it is not stored in the R-tree. All algorithms follow the basic idea of discarding part of the points of S, in such a way that the problem can be solved only considering the remaining points. As a consequence, the algorithms only have to access a very small portion of the nodes (disk blocks) of the R-tree, saving main memory resources and computation time. We provide formal proofs of the correctness of our algorithms and, in order to evaluate the performance of the algorithms, we run an extensive set of experiments using synthetic and real data. The results have demonstrated the efficiency and scalability of our algorithms for different dataset configurations. Numéro de notice : A2014-224 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1007/s10707-013-0178-y Date de publication en ligne : 19/04/2013 En ligne : https://doi.org/10.1007/s10707-013-0178-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33127 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
057-2014021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

UL-Isomap based nonlinear dimensionality reduction for hyperspectral imagery classification / Weiwei Sun in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)  

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Algorithmique et programmation en Java / V. Granet (2014)

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Cartographie routière navigable sur Tahiti : Référentiel routier / Anna Mouget (2014)

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Dissemination and geovisualization of territorial entities’ history / Christine Plumejeaud in Journal of Spatial Information Science, JoSIS, n° 8 (2014)    

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Initiation à l'algorithmique et à la programmation en C / Rémy Malgouyres (2014)

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Panorama de l'intelligence artificielle, ses bases méthodologiques, ses développements, 2. Algorithmes pour l'intelligence artificielle / Pierre Marquis (2014)

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Proceedings of the 9th 3D GeoInfo Conference 2014, 11-13 November 2014, Dubai / Martin Breunig (2014)    

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R et espace : Traitement de l’information géographique / Groupe Element R (2014)    

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A spatio-temporal graph model for marine dune dynamics analysis and representation / Rémy Thibaud in Transactions in GIS, vol 17 n° 5 (October 2013)  

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The k closest pairs in spatial databases: When only set is indexed / Gilberto Gutiérrez in Geoinformatica, vol 17 n° 4 (October 2013)  

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