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Sketch-Finder: efficient and effective sketch-based retrieval for large image collections / Carlos Alberto Pimentel Filho (August 2013)
Titre : Sketch-Finder: efficient and effective sketch-based retrieval for large image collections Type de document : Article/Communication Auteurs : Carlos Alberto Pimentel Filho, Auteur ; Arnaldo de Albuquerque Araújo, Auteur ; Michel Crucianu, Auteur ; Valérie Gouet-Brunet , Auteur Editeur : Arequipa [Pérou] : Universidad Católica San Pablo UCSP Année de publication : August 2013 Conférence : SIBGRAPI 2013, 26th Brazilian Conference on Graphics, Patterns, and Images 05/08/2013 08/08/2013 Arequipa Pérou OA Proceedings Importance : pp 234 - 241 Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] détection de contours
[Termes IGN] indexation
[Termes IGN] ondelette
[Termes IGN] similitude
[Termes IGN] variabilitéMots-clés libres : sketch-based image retrieval multimedia indexing scalability Résumé : (auteur) Among various image retrieval approaches, the use of sketches lets one express a precise visual query with simple and widespread means. The challenge consists in finding a content representation that allows you to effectively compare sketches and images, while supporting efficient retrieval in order to make the system scalable. We put forward a sketch-based image retrieval solution where sketches and natural image contours are represented and compared in the wavelet domain. The relevant information regarding query sketches and image content has, thus, a compact representation that can be readily employed by an efficient index for retrieval by similarity. Furthermore, with this solution, the balance between effectiveness and efficiency can be easily modified in order to adapt to the available resources. A comparative evaluation with a state-of-the-art method on the Paris dataset and a subset with 535K images of the ImageNet dataset shows that our solution can preserve effectiveness while being more than one order of magnitude faster. Numéro de notice : C2013-044 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : http://www.ucsp.edu.pe/sibgrapi2013/eproceedings/technical/114547_2.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80233 Automated delineation of individual tree crowns from lidar data by multi-scale analysis and segmentation / L. Jing in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 12 (December 2012)
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Titre : Automated delineation of individual tree crowns from lidar data by multi-scale analysis and segmentation Type de document : Article/Communication Auteurs : L. Jing, Auteur ; B. Hu, Auteur ; J. Li, Auteur ; T. Noland, Auteur Année de publication : 2012 Article en page(s) : pp 1275 - 1284 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse multiéchelle
[Termes IGN] arbre (flore)
[Termes IGN] détection automatique
[Termes IGN] détection de contours
[Termes IGN] données lidar
[Termes IGN] segmentation d'imageRésumé : (Auteur) A canopy height model (chm) derived from lidar data can be segmented to obtain individual tree crowns. However, branches, tree crowns, and tree clusters usually have similar shapes and overlapping sizes. This causes current individual tree crown delineation methods for CHMs to work less effectively on closed canopy deciduous or mixed wood forests consisting of various-sized tree crowns. Based on mult-scale analysis and segmentation, an innovative tree crown delineation method was developed in this study. In this method, the scale levels of target tree crowns are first morphologically determined; the CHM is filtered at the multiple scale levels; and local maxima within each filtered CHM are taken as markers to segment the original chm using the marker-controlled watershed method. After tree crown segments are selected from the multiple resulting segmentation maps and integrated together, a complete tree crown map is generated. In an experiment on natural forests in Ontario, Canada, the proposed method yielded crown maps having a good consistency with manual and visual interpretation. For instance, when compared to a manually delineated forest map, the automated method correctly delineated about 69 percent, 65 percent, and 73 percent of the tree crowns from plots of closed canopy coniferous, deciduous, and mixed wood forests, respectively. Numéro de notice : A2012-645 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.78.11.1275 En ligne : https://doi.org/10.14358/PERS.78.11.1275 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32091
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 12 (December 2012) . - pp 1275 - 1284[article]Land use classification from lidar data and ortho-images in a rural area / Sandra Bujan in Photogrammetric record, vol 27 n° 140 (December 2012 - February 2013)
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Titre : Land use classification from lidar data and ortho-images in a rural area Type de document : Article/Communication Auteurs : Sandra Bujan, Auteur ; Edouardo M. González‐Ferreiro, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 401 - 422 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] classification orientée objet
[Termes IGN] détection du bâti
[Termes IGN] données lidar
[Termes IGN] image aérienne
[Termes IGN] occupation du sol
[Termes IGN] paysage rural
[Termes IGN] précision des données
[Termes IGN] superposition de donnéesRésumé : (Auteur) Obtaining information on the distribution of rural landscape types is an active research topic within Spanish rural studies. This paper presents a new hierarchical object-based classification method for the automatic detection of various land use classes in a rural area, combining lidar data and aerial images. In view of the upcoming availability of low-density lidar data (0·5 pulses/m2) for most of the territory of Spain, this paper assesses the feasibility and accuracy of the proposed method for various lidar data densities. Such an assessment was conducted using two approaches: firstly, based on the final classification, which produced an overall accuracy over 96% and a kappa index above 0·95 for the combinations of the aerial image and lidar data-sets with four different densities; and secondly, based solely on the areas classified as buildings. In the second approach, the accuracy of the classification for building detection at pixel and object level was assessed. The object-oriented classification of buildings produced an index of correctness of over 99% and an index of completeness of about 95%. The results reveal a high agreement between classification and ground truth data. Numéro de notice : A2012-624 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2012.00698.x Date de publication en ligne : 18/12/2012 En ligne : https://doi.org/10.1111/j.1477-9730.2012.00698.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32070
in Photogrammetric record > vol 27 n° 140 (December 2012 - February 2013) . - pp 401 - 422[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 106-2012041 RAB Revue Centre de documentation En réserve L003 Disponible Built-up and vegetation extraction and density mapping using WorldView-II / A. Kumar in Geocarto international, vol 27 n° 7 (November 2012)
[article]
Titre : Built-up and vegetation extraction and density mapping using WorldView-II Type de document : Article/Communication Auteurs : A. Kumar, Auteur ; A. Chandra Pandrey, Auteur ; A. Jeyaseelan, Auteur Année de publication : 2012 Article en page(s) : pp 557 - 568 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse en composantes principales
[Termes IGN] bande infrarouge
[Termes IGN] bande rouge
[Termes IGN] carte d'occupation du sol
[Termes IGN] densité de population
[Termes IGN] détection du bâti
[Termes IGN] extraction de la végétation
[Termes IGN] image Worldview
[Termes IGN] Normalized Difference Vegetation IndexRésumé : (Auteur) This study demonstrates the use of high resolution WorldView-II satellite data in extraction of built-up land and vegetation using normalized index techniques. The PCA 1 and NIR 2 bands-based built-up index was proposed for extracting built-up land, which exhibit high accuracy. The normalized difference vegetation index based on Red Edge and NIR 2 bands of WorldView-II produced high accuracy in the estimation of vegetation compared to the use of Red and NIR bands. The grid technique used in estimating built-up and vegetation density from precisely classified images provided better and accurate assessment of built-up and vegetation density in heterogeneous landscape of urban areas. This shows areas of very high to high built-up density are located in the central, western and southern parts, which are primarily devoid of vegetation. This study indicates possibilities of utilizing high resolution satellite data in urban landscape characterization using a grid-based technique. Numéro de notice : A2012-542 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.657695 Date de publication en ligne : 23/02/2012 En ligne : https://doi.org/10.1080/10106049.2012.657695 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31988
in Geocarto international > vol 27 n° 7 (November 2012) . - pp 557 - 568[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2012071 RAB Revue Centre de documentation En réserve L003 Disponible Edge-guided multiscale segmentation of satellite multispectral imagery / J. Chen in IEEE Transactions on geoscience and remote sensing, vol 50 n° 11 Tome 1 (November 2012)
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Titre : Edge-guided multiscale segmentation of satellite multispectral imagery Type de document : Article/Communication Auteurs : J. Chen, Auteur ; J. Li, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 4513 - 4520 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse d'image numérique
[Termes IGN] contour
[Termes IGN] détection de contours
[Termes IGN] filtre de Canny
[Termes IGN] image multibande
[Termes IGN] littoral
[Termes IGN] segmentation d'imageRésumé : (Auteur) This paper presents a new approach to multiscale segmentation of satellite multispectral imagery using edge information. The Canny edge detector is applied to perform multispectral edge detection. The detected edge features are then utilized in a multiscale segmentation loop, and the merge procedure for adjacent image objects is controlled by a separability criterion that combines edge information with segmentation scale. The significance of the edge is measured by adjacent partitioned regions to perform edge assessment. The present method is based on a half-partition structure, which is composed of three steps: single edge detection, separated pixel grouping, and significant feature calculation. The spectral distance of the half-partitions separated by the edge is calculated, compared, and integrated into the edge information. The results show that the proposed approach works well on satellite multispectral images of a coastal area. Numéro de notice : A2012-590 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2194502 Date de publication en ligne : 23/05/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2194502 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32036
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 11 Tome 1 (November 2012) . - pp 4513 - 4520[article]Reconnaissance de bâtiments et localisation de photographies au moyen d'un descripteur de texture / W. Suleiman in Revue internationale de géomatique, vol 22 n° 3 (septembre - novembre 2012)PermalinkBuilding edge detection using small-footprint airborne full-waveform lidar data / Jean-Christophe Michelin in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol I-3 (2012)PermalinkBuilding detection in complex scenes thorough effective separation of buildings from trees / M. Awrangjeb in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 7 (July 2012)PermalinkBuilding detection in complex thorough effective separation of buildings from trees / M. Awrangjeb in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 7 (July 2012)PermalinkDétection et localisation 3D de panneaux de signalisation [diaporama] / Bahman Soheilian (08/03/2012)PermalinkExtraction of building roof contours from LiDAR data using a Markov-random-field-based approach / E. Dos Santos Galvanin in IEEE Transactions on geoscience and remote sensing, vol 50 n° 3 (March 2012)PermalinkIntegrated point and edge matching on poor textural images constrained by self-adaptive triangulations / B. Wu in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)PermalinkPermalinkAutomated detection of prehistorical rock art features aided by TLS and 2D data co-registration / Jean-Baptiste Lamontre (2012)PermalinkPermalink