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Change detection in high-resolution land use/land cover geodatabases (at object level) / Emilio Domenech (01/04/2014)
contenu dans Change detection in high-resolution land use/land cover geodatabase (at object level) / European Spatial Data Research EuroSDR (2014)
Titre : Change detection in high-resolution land use/land cover geodatabases (at object level) Type de document : Chapitre/Contribution Auteurs : Emilio Domenech, Auteur ; Clément Mallet , Auteur Editeur : Dublin : European Spatial Data Research EuroSDR Année de publication : 01/04/2014 Collection : EuroSDR official publication, ISSN 0257-0505 num. 64 Importance : pp 10 - 63 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] base de données thématiques
[Termes IGN] base de données topographiques
[Termes IGN] changement d'occupation du sol
[Termes IGN] changement d'utilisation du sol
[Termes IGN] classification automatique d'objets
[Termes IGN] détection automatique
[Termes IGN] détection de changement
[Termes IGN] données multisources
[Termes IGN] niveau de détail
[Termes IGN] occupation du sol
[Termes IGN] utilisation du solNuméro de notice : H2014-001 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=65905 Documents numériques
en open access
eurosdr_no64_a-1_1.pdfAdobe Acrobat PDF The largest empty rectangle containing only a query object in Spatial Databases / Gilberto Gutiérrez in Geoinformatica, vol 18 n° 2 (April 2014)
[article]
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 donnéesRésumé : (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
in Geoinformatica > vol 18 n° 2 (April 2014) . - pp 193 - 228[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding / Junwei Han in ISPRS Journal of photogrammetry and remote sensing, vol 89 (March 2014)
[article]
Titre : Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding Type de document : Article/Communication Auteurs : Junwei Han, Auteur ; Peicheng Zhou, Auteur ; Dingwen Zhang, Auteur ; Gong Cheng, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 37 - 48 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse discriminante
[Termes IGN] apprentissage automatique
[Termes IGN] détection de cible
[Termes IGN] données localisées
[Termes IGN] image optique
[Termes IGN] matrice d'information de Fischer
[Termes IGN] modèle de simulation
[Termes IGN] reliefRésumé : (Auteur) Automatic detection of geospatial targets in cluttered scenes is a profound challenge in the field of aerial and satellite image analysis. In this paper, we propose a novel practical framework enabling efficient and simultaneous detection of multi-class geospatial targets in remote sensing images (RSI) by the integration of visual saliency modeling and the discriminative learning of sparse coding. At first, a computational saliency prediction model is built via learning a direct mapping from a variety of visual features to a ground truth set of salient objects in geospatial images manually annotated by experts. The output of this model can predict a small set of target candidate areas. Afterwards, in contrast with typical models that are trained independently for each class of targets, we train a multi-class object detector that can simultaneously localize multiple targets from multiple classes by using discriminative sparse coding. The Fisher discrimination criterion is incorporated into the learning of a dictionary, which leads to a set of discriminative sparse coding coefficients having small within-class scatter and big between-class scatter. Multi-class classification can be therefore achieved by the reconstruction error and discriminative coding coefficients. Finally, the trained multi-class object detector is applied to those target candidate areas instead of the entire image in order to classify them into various categories of target, which can significantly reduce the cost of traditional exhaustive search. Comprehensive evaluations on a satellite RSI database and comparisons with a number of state-of-the-art approaches demonstrate the effectiveness and efficiency of the proposed work. Numéro de notice : A2014-123 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.12.011 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.12.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33028
in ISPRS Journal of photogrammetry and remote sensing > vol 89 (March 2014) . - pp 37 - 48[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2014031 RAB Revue Centre de documentation En réserve L003 Disponible Generation of true ortho-images based on virtual worlds: Learning aspects / Eduardo J. Piatti in Photogrammetric record, vol 29 n° 145 (March - May 2014)
[article]
Titre : Generation of true ortho-images based on virtual worlds: Learning aspects Type de document : Article/Communication Auteurs : Eduardo J. Piatti, Auteur ; José Luis Lerma, Auteur Année de publication : 2014 Article en page(s) : pp 49 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage
[Termes IGN] apprentissage automatique
[Termes IGN] milieu urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] orientation externe
[Termes IGN] orientation interne
[Termes IGN] orthoimage
[Termes IGN] orthorectification
[Termes IGN] réalité virtuelle
[Termes IGN] simulationRésumé : (Auteur) Many of the theoretical concepts in photogrammetry are difficult to understand by means of equations and figures. Furthermore, commercial software is not usually adapted to the requirements of teaching and learning. However, photogrammetric simulation software based on virtual worlds can be used to improve both learning and understanding of complex geometrical issues such as the generation of true ortho-images in urban areas, and assists in training and skills development. This paper tackles image orthorectification by means of a photogrammetric simulation and its generation based on digital elevation/building/surface models, and the interior and exterior orientation parameters of the image sensor, namely, a digital camera. Internal processes such as masking and visibility analysis which are necessary to yield successful true ortho-images are reported, with examples from both simple and complex urban environments. Numéro de notice : A2014-155 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12053 Date de publication en ligne : 26/11/2014 En ligne : https://doi.org/10.1111/phor.12053 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33060
in Photogrammetric record > vol 29 n° 145 (March - May 2014) . - pp 49 - 67[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2014011 RAB Revue Centre de documentation En réserve L003 Disponible Model generalization of two different drainage patterns by self-organizing maps / Alper Sen in Cartography and Geographic Information Science, vol 41 n° 2 (March 2014)
[article]
Titre : Model generalization of two different drainage patterns by self-organizing maps Type de document : Article/Communication Auteurs : Alper Sen, Auteur ; Turkay Gokgoz, Auteur ; Monika Sester, Auteur Année de publication : 2014 Article en page(s) : pp 151 - 165 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] carte de Kohonen
[Termes IGN] Etats-Unis
[Termes IGN] généralisation de base de données
[Termes IGN] réseau hydrographique
[Termes IGN] réseau neuronal artificiel
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) In this study, we develop a new method using self-organizing maps (SOMs) for the selection of hydrographic model generalization. The most suitable attributes of the stream objects are used as input variables to the SOM. The attributes were weighted using Pearson’s chi-square independence test. We used the Radical Law to determine how many features should be selected, and an incremental approach was developed to determine which clusters should be selected from the SOM. Two drainage patterns (dendritic and modified basic) were obtained from the National Hydrography Datasets of United States Geological Survey at 1:24,000-scale (high resolution) and used in order to derive stream networks at 1:100,000-scale (medium resolution). The 1:100,000-scale stream networks, derived in accordance with the proposed approach, are similar to those in the original maps in both quantity and visual aspects. Stream density and pattern were maintained in each subunit, and continuous and semantically correct networks were obtained. Numéro de notice : A2014-208 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/15230406.2013.877231 En ligne : https://doi.org/10.1080/15230406.2013.877231 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33111
in Cartography and Geographic Information Science > vol 41 n° 2 (March 2014) . - pp 151 - 165[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2014021 RAB Revue Centre de documentation En réserve L003 Disponible Spatial and spectral image fusion using sparse matrix factorization / Bo Huang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 3 (March 2014)PermalinkBi-temporal texton forest for land cover transition detection on remotely sensed imagery / Zhen Lei in IEEE Transactions on geoscience and remote sensing, vol 52 n° 2 (February 2014)PermalinkCombining RapidEye and lidar satellite imagery for mapping of mining and mine reclamation / Aaron E. Maxwell in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 2 (February 2014)PermalinkDetecting subcanopy invasive plant species in tropical rainforest by integrating optical and microwave (InSAR/PolInSAR) remote sensing data, and a decision tree algorithm / Abduwasit Ghulam in ISPRS Journal of photogrammetry and remote sensing, vol 88 (February 2014)PermalinkMultiple-entity based classification of airborne laser scanning data in urban areas / S. Xu in ISPRS Journal of photogrammetry and remote sensing, vol 88 (February 2014)PermalinkUse of artificial neural networks for selective omission in updating road networks / Qi Zhou in Cartographic journal (the), vol 51 n° 1 (February 2014)PermalinkActive learning of user’s preferences estimation towards a personalized 3D navigation of geo-referenced scenes / Christos Yiakoumettis in Geoinformatica, vol 18 n° 1 (January 2014)PermalinkAgricultural field delimitation using active learning and random forests margin / Karim Ghariani (2014)PermalinkAssessing the performance of two unsupervised dimensionality reduction techniques on hyperspectral APEX data for high resolution urban land-cover mapping / Luca Demarchi in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)PermalinkPermalink