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Deep filter banks for texture recognition, description, and segmentation / Mircea Cimpoi in International journal of computer vision, vol 118 n° 1 (May 2016)
[article]
Titre : Deep filter banks for texture recognition, description, and segmentation Type de document : Article/Communication Auteurs : Mircea Cimpoi, Auteur ; Subhransu Maji, Auteur ; Iasonas Kokkinos, Auteur ; Andrea Vedaldi, Auteur Année de publication : 2016 Article en page(s) : pp 65 – 94 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] accès aux données
[Termes IGN] apprentissage profond
[Termes IGN] attribut sémantique
[Termes IGN] filtrage numérique d'image
[Termes IGN] jeu de données
[Termes IGN] segmentation d'image
[Termes IGN] texture d'imageRésumé : (auteur) Visual textures have played a key role in image understanding because they convey important semantics of images, and because texture representations that pool local image descriptors in an orderless manner have had a tremendous impact in diverse applications. In this paper, we make several contributions to texture understanding. First, instead of focusing on texture instance and material category recognition, we propose a human-interpretable vocabulary of texture attributes to describe common texture patterns, complemented by a new describable texture dataset for benchmarking. Second, we look at the problem of recognizing materials and texture attributes in realistic imaging conditions, including when textures appear in clutter, developing corresponding benchmarks on top of the recently proposed OpenSurfaces dataset. Third, we revisit classic texture representations, including bag-of-visual-words and the Fisher vectors, in the context of deep learning and show that these have excellent efficiency and generalization properties if the convolutional layers of a deep model are used as filter banks. We obtain in this manner state-of-the-art performance in numerous datasets well beyond textures, an efficient method to apply deep features to image regions, as well as benefit in transferring features from one domain to another. Numéro de notice : A2016--151 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007%2Fs11263-015-0872-3 En ligne : https://doi.org/10.1007/s11263-015-0872-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85919
in International journal of computer vision > vol 118 n° 1 (May 2016) . - pp 65 – 94[article]
Titre : Single-image interactive 3D generalized cylinder modeling Type de document : Article/Communication Auteurs : Murat Yirci, Auteur ; Mathieu Brédif , Auteur ; Nicolas Paparoditis , Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2016 Projets : 1-Pas de projet / Conférence : JFIG 2016, 29èmes Journées Française d’Informatique Graphique de l'AFIG, du GdR IG-RV du CNRS et du Chapitre Français d’EG 30/11/2016 02/12/2016 Grenoble France Importance : 4 p. Format : 21 x 30 cm Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] filtrage numérique d'image
[Termes IGN] incertitude géométrique
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] profondeurRésumé : (auteur) Projective texturing is a commonly used image based rendering technique that enables the synthesis of novel views from the blended reprojection of nearby views on a coarse geometry proxy approximating the scene. When scene geometry is inexact, aliasing artefacts occur. This introduces disturbing artefacts in applications such as street-level immersive navigation in mobile mapping imagery, since a pixel-accurate modelling of the scene geometry and all its details is most of the time out of question. The filtered blending approach applies the necessary 1D low-pass filtering on the projective texture to trade out the aliasing artefacts at the cost of some radial blurring. This paper proposes extensions of the filtered blending approach. Firstly, we introduce Integral Radial Images that enable constant time radial box filtering and show how they can be used to apply box-filtered blending in constant time independently of the amount of depth uncertainty. Secondly, we show a very efficient application of filtered blending where the scene geometry is only given by a loose depth interval prior rather than an actual geometry proxy. Thirdly, we propose a silhouette-aware extension of the box-filtered blending that not only account for uncertain depth along the viewing ray but also for uncertain silhouettes that have to be blurred as well. Numéro de notice : C2016-062 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésNat DOI : sans En ligne : https://hal.science/hal-02551493 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96339 A moving weighted harmonic analysis method for reconstructing high-quality SPOT VEGETATION NDVI time-series data / Gang Yang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
[article]
Titre : A moving weighted harmonic analysis method for reconstructing high-quality SPOT VEGETATION NDVI time-series data Type de document : Article/Communication Auteurs : Gang Yang, Auteur ; Huanfeng Shen, Auteur ; Liangpei Zhang, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 6008 - 6021 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse diachronique
[Termes IGN] analyse harmonique
[Termes IGN] Chine
[Termes IGN] filtrage numérique d'image
[Termes IGN] image SPOT-Végétation
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] occupation du sol
[Termes IGN] série temporelle
[Termes IGN] surveillance de la végétationRésumé : (Auteur) Global or regional environmental change is of wide concern. Extensive studies have indicated that long-term vegetation cover change is one of the most important factors reflecting environmental change, and normalized difference vegetation index (NDVI) time-series data sets have been widely used in vegetation dynamic change monitoring. However, the significant residual effects and noise levels impede the application of NDVI time-series data in environmental change research. This study develops a novel and robust filter method, i.e., the moving weighted harmonic analysis (MWHA) method, which incorporates a moving support domain to assign the weights for all the points, making the determination of the frequency number much easier. Additionally, a four-step process flow is designed to make the data approach the upper NDVI envelope, so that the actual change in the vegetation can be detected. A total of 487 test pixels selected from SPOT VEGETATION 10-day MVC NDVI time-series data from January 1999 to December 2001 were used to illustrate the effectiveness of the new method by comparing the MWHA results with the results of another four existing methods. Finally, the long-term SPOT VEGETATION 10-day maximum-value compositing (MVC) NDVI time series for China from April 1998 to May 2014 was reconstructed by the use of the proposed method, and a test region in China was utilized to validate the effectiveness of the proposed MWHA method. All the results indicate that the reconstructed high-quality NDVI time series fits the actual growth profile of the vegetation and is suitable for use in further remote sensing applications. Numéro de notice : A2015-771 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2431315 Date de publication en ligne : 02/06/2015 En ligne : https://doi.org/10.1109/TGRS.2015.2431315 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78827
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 11 (November 2015) . - pp 6008 - 6021[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2015111 SL Revue Centre de documentation Revues en salle Disponible Overcoming lidar’s Big data problem / Rick Harrison in GEO: Geoconnexion international, vol 14 n° 9 (October 2015)
[article]
Titre : Overcoming lidar’s Big data problem Type de document : Article/Communication Auteurs : Rick Harrison, Auteur Année de publication : 2015 Article en page(s) : pp 27 - 28 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] délimitation
[Termes IGN] données massives
[Termes IGN] filtrage numérique d'image
[Termes IGN] semis de points
[Termes IGN] zone d'intérêtRésumé : (éditeur) Lidar can measure surfaces incredibly accurately, but it can produce huge amounts of data as a result, slowing down software, sometimes to the point of unusability. Here, Rick Harrison reveals eight simple steps to cut the problem down to size Numéro de notice : A2015-655 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78259
in GEO: Geoconnexion international > vol 14 n° 9 (October 2015) . - pp 27 - 28[article]Filtering Global land and surface altimetry data (GLA14) for elevation accuracy determination / Jean-Samuel Proulx-Bourque in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 9 (September 2015)
[article]
Titre : Filtering Global land and surface altimetry data (GLA14) for elevation accuracy determination Type de document : Article/Communication Auteurs : Jean-Samuel Proulx-Bourque, Auteur ; Ramata Magagi, Auteur ; Norman T. O’Neill, Auteur Année de publication : 2015 Article en page(s) : pp 701 - 707 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] altimétrie satellitaire par radar
[Termes IGN] altitude
[Termes IGN] Canada
[Termes IGN] données altimétriques
[Termes IGN] données ICEsat
[Termes IGN] filtrage numérique d'imageRésumé : (auteur) This paper presents a filtering method for ICESat Global Land Surface Altimetry data (GLA14), which is based on indicators to detect potentially contaminated GLA14 elevation points. Potential contamination sources include attitude miscalculation, saturated echoes, equipment noise, the atmosphere, and variable elevation within footprints. For a study site located in Northern Canada, this multi-indicator filter provided a 19 percent reduction in the root mean square error for elevation, when compared to Canadian Digital Elevation Data (CDED). This result demonstrates the method’s ability to provide an improved dataset for vertical accuracy evaluation, with respect to unfiltered GLA14 data. The improvement was achieved with a rejection rate of 69 percent. However, due to the high density of the unfiltered GLA14 data over the study site, a spatially homogeneous distribution of elevation points was maintained, even after filtering. Results also showed the rejection efficiency of most indicators, as well as their complementarity. Numéro de notice : A2015-984 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.9.701 En ligne : https://doi.org/10.14358/PERS.81.9.701 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80265
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 9 (September 2015) . - pp 701 - 707[article]Hyperspectral image classification based on three-dimensional scattering wavelet transform / Yuan Yan Tang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 5 (mai 2015)PermalinkPolarimetric SAR speckle filtering and the extended sigma filter / Jong-Sen Lee in IEEE Transactions on geoscience and remote sensing, vol 53 n° 3 (March 2015)PermalinkAn accurate and computationally efficient algorithm for ground peak identification in large footprint waveform LiDAR data / Wei Zhuang in ISPRS Journal of photogrammetry and remote sensing, vol 95 (September 2014)PermalinkDiscrimination des unités géologiques et structurales du socle précambrien de l'Afrique de l'ouest à l'aide de transformations multispectrales : cas du degré carré de Korhogo au nord de la Côte d'Ivoire / K. Kouamé in Photo interprétation, European journal of applied remote sensing, vol 50 n° 2 (juin 2014)PermalinkFeature extraction of hyperspectral images with image fusion and recursive filtering / Xudong Kang in IEEE Transactions on geoscience and remote sensing, vol 52 n° 6 Tome 2 (June 2014)PermalinkHyperspectral-based adaptive matched filter detector error as a function of atmospheric water vapor estimation / Allan W. Yarbrough in IEEE Transactions on geoscience and remote sensing, vol 52 n° 4 (April 2014)PermalinkA GIHS-based spectral preservation fusion method for remote sensing images using edge restored spectral modulation / Xiran Zhou in ISPRS Journal of photogrammetry and remote sensing, vol 88 (February 2014)PermalinkAutomated detection of slum area change in Hyderabad, India using multitemporal satellite imagery / Oleksandr Kit in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)PermalinkTopological gradient connection analysis for feature detection / Chao-Yuan Lo in Photogrammetric record, vol 28 n° 141 (March - May 2013)PermalinkManual of photogrammetry, sixth edition / J. Chris Mcglone (2013)PermalinkEdge-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)PermalinkTraitements numériques des images de télédétection, Vol. 2. Visualisation, techniques d'amélioration de la visualisation des images numériques / Olivier de Joinville (2012)PermalinkImage fusion by spatially adaptive filtering using downscaling cokriging / E. Pardo-Iguzquiza in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 3 (May - June 2011)PermalinkRecalage d'un nuage de points de scanner laser terrestre avec une image de bâtiment / Abdelhamid Bennis (2011)PermalinkInterest operators for feature-based matching in close range photogrammetry / I. Jazayeri in Photogrammetric record, vol 25 n° 129 (March - May 2010)PermalinkStriping noise detection and correction of remote sensing images / F. Tsai in IEEE Transactions on geoscience and remote sensing, vol 46 n° 12 (December 2008)PermalinkOptimizing the high-pass filter addition technique for image fusion / U.G. Gangkofner in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 9 (September 2008)PermalinkIntroduction au traitement d'images / D. Lingrand (2008)PermalinkERS-2 SAR and IRS-1C LISS III data fusion: a PCA approach to improve remote sensing based geological interpretation / T.J. Majumdar in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 5 (January 2007)PermalinkSpectral filtering and classification of terrestrial laser scanner point clouds / Derek D. Lichti in Photogrammetric record, vol 20 n° 111 (September - November 2005)Permalink