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Orthophoto : toujours plus, mais pas toujours mieux / Françoise de Blomac in SIG la lettre, n° 142 (décembre 2012)
[article]
Titre : Orthophoto : toujours plus, mais pas toujours mieux Type de document : Article/Communication Auteurs : Françoise de Blomac, Auteur Année de publication : 2012 Article en page(s) : pp 2 - 4 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage
[Termes IGN] Institut géographique national (France)
[Termes IGN] modèle numérique de terrain
[Termes IGN] orthophotographie
[Termes IGN] pixelRésumé : (Auteur) L'orthophotographie est devenue l'une des couches de référence de bien des SIG. Grâce aux évolutions techniques et à la baisse des prix, collectivités et entreprises voient tout leur territoire, avec de plus en plus de détails. Le marché semble florissant. Mais de nouveaux problèmes se font jour. Numéro de notice : A2012-634 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32080
in SIG la lettre > n° 142 (décembre 2012) . - pp 2 - 4[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 286-2012101 RAB Revue Centre de documentation En réserve L003 Disponible Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions / M. Cutler in ISPRS Journal of photogrammetry and remote sensing, vol 70 (June 2012)
[article]
Titre : Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions Type de document : Article/Communication Auteurs : M. Cutler, Auteur ; D. Boyd, Auteur ; Giles M. Foody, Auteur ; A. Vetrivel, Auteur Année de publication : 2012 Article en page(s) : pp 66 - 77 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] analyse comparative
[Termes IGN] analyse texturale
[Termes IGN] biomasse
[Termes IGN] biomasse (combustible)
[Termes IGN] Brésil
[Termes IGN] classification par réseau neuronal
[Termes IGN] déboisement
[Termes IGN] forêt tropicale
[Termes IGN] image JERS
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image radar
[Termes IGN] Malaisie
[Termes IGN] matrice de co-occurrence
[Termes IGN] niveau de gris (image)
[Termes IGN] ondelette
[Termes IGN] texture d'image
[Termes IGN] ThaïlandeRésumé : (Auteur) Quantifying the above ground biomass of tropical forests is critical for understanding the dynamics of carbon fluxes between terrestrial ecosystems and the atmosphere, as well as monitoring ecosystem responses to environmental change. Remote sensing remains an attractive tool for estimating tropical forest biomass but relationships and methods used at one site have not always proved applicable to other locations. This lack of a widely applicable general relationship limits the operational use of remote sensing as a method for biomass estimation, particularly in high biomass ecosystems. Here, multispectral Landsat TM and JERS-1 SAR data were used together to estimate tropical forest biomass at three separate geographical locations: Brazil, Malaysia and Thailand. Texture measures were derived from the JERS-1 SAR data using both wavelet analysis and Grey Level Co-occurrence Matrix methods, and coupled with multispectral data to provide inputs to artificial neural networks that were trained under four different training scenarios and validated using biomass measured from 144 field plots. When trained and tested with data collected from the same location, the addition of SAR texture to multispectral data showed strong correlations with above ground biomass (r = 0.79, 0.79 and 0.84 for Thailand, Malaysia and Brazil respectively). Also, when networks were trained and tested with data from all three sites, the strength of correlation (r = 0.55) was stronger than previously reported results from the same sites that used multispectral data only. Uncertainty in estimating AGB from different allometric equations was also tested but found to have little effect on the strength of the relationships observed. The results suggest that the inclusion of SAR texture with multispectral data can go someway towards providing relationships that are transferable across time and space, but that further work is required if satellite remote sensing is to provide robust and reliable methodologies for initiatives such as Reducing Emissions from Deforestation and Degradation (REDD+). Numéro de notice : A2012-289 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.03.011 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.03.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31735
in ISPRS Journal of photogrammetry and remote sensing > vol 70 (June 2012) . - pp 66 - 77[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012041 SL Revue Centre de documentation Revues en salle Disponible Efficient parallel algorithm for pixel classification in remote sensing imagery / U. Maulik in Geoinformatica, vol 16 n° 2 (April 2012)
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Titre : Efficient parallel algorithm for pixel classification in remote sensing imagery Type de document : Article/Communication Auteurs : U. Maulik, Auteur ; A. Sarkar, Auteur Année de publication : 2012 Article en page(s) : pp 391 - 407 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse de groupement
[Termes IGN] classification barycentrique
[Termes IGN] classification dirigée
[Termes IGN] image IRS
[Termes IGN] image SPOT
[Termes IGN] pixel
[Termes IGN] traitement parallèleRésumé : (Auteur) An important approach for image classification is the clustering of pixels in the spectral domain. Fast detection of different land cover regions or clusters of arbitrarily varying shapes and sizes in satellite images presents a challenging task. In this article, an efficient scalable parallel clustering technique of multi-spectral remote sensing imagery using a recently developed point symmetry-based distance norm is proposed. The proposed distributed computing time efficient point symmetry based K-Means technique is able to correctly identify presence of overlapping clusters of any arbitrary shape and size, whether they are intra-symmetrical or inter-symmetrical in nature. A Kd-tree based approximate nearest neighbor searching technique is used as a speedup strategy for computing the point symmetry based distance. Superiority of this new parallel implementation with the novel two-phase speedup strategy over existing parallel K-Means clustering algorithm, is demonstrated both quantitatively and in computing time, on two SPOT and Indian Remote Sensing satellite images, as even K-Means algorithm fails to detect the symmetry in clusters. Different land cover regions, classified by the algorithms for both images, are also compared with the available ground truth information. The statistical analysis is also performed to establish its significance to classify both satellite images and numeric remote sensing data sets, described in terms of feature vectors. Numéro de notice : A2012-094 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s10707-011-0136-5 Date de publication en ligne : 06/09/2011 En ligne : https://doi.org/10.1007/s10707-011-0136-5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31542
in Geoinformatica > vol 16 n° 2 (April 2012) . - pp 391 - 407[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-2012021 RAB Revue Centre de documentation En réserve L003 Disponible An edge-oriented approach to thematic map error assessment / S. Sweeney in Geocarto international, vol 27 n° 1 (February 2012)
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Titre : An edge-oriented approach to thematic map error assessment Type de document : Article/Communication Auteurs : S. Sweeney, Auteur ; T. Evans, Auteur Année de publication : 2012 Article en page(s) : pp 31 - 56 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] contour
[Termes IGN] erreur de classification
[Termes IGN] image Landsat-TM
[Termes IGN] Indianapolis
[Termes IGN] occupation du sol
[Termes IGN] pixel
[Termes IGN] précision de la classificationRésumé : (Auteur) The objective of this analysis is to develop a method of classification error assessment that can contribute to techniques designed to evaluate change products with an emphasis on edge locations in landscapes. Reference land-cover data were developed within 10 randomly sampled regions across the study site, approximately 9 km2 each. Sample pixels were partitioned and allocated among two domain categories, interior and edge. The assignment of pixels to domain categories was based on neighbourhood heterogeneity. Classification error was assessed within domain categories on a pixel-by-pixel basis, evaluating agreement between map values and majority land cover. To demonstrate the methodology, we present summary results for this technique applied to a land-cover classification of south-central Indiana. Omission error was less than 8.3% within interior domains and from 25.8% to 36.4% in the edge. Commission error was below 26.7% within the interior domains and ranged from 13.9 to 74.6% in the edge domains. Numéro de notice : A2012-104 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.622052 Date de publication en ligne : 20/10/2011 En ligne : https://doi.org/10.1080/10106049.2011.622052 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31552
in Geocarto international > vol 27 n° 1 (February 2012) . - pp 31 - 56[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012011 RAB Revue Centre de documentation En réserve L003 Disponible Review of geometric and radiometric analyses of paintings / Fabio Remondino in Photogrammetric record, vol 26 n° 136 (December 2011 - February 2012)
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Titre : Review of geometric and radiometric analyses of paintings Type de document : Article/Communication Auteurs : Fabio Remondino, Auteur ; Luigi Barazzetti, Auteur ; Marco Scaioni, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 439 - 461 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] capteur actif
[Termes IGN] déformation d'image
[Termes IGN] image multibande
[Termes IGN] patrimoine culturel
[Termes IGN] patrimoine mobilier
[Termes IGN] peinture
[Termes IGN] photogrammétrie terrestre
[Termes IGN] qualité radiométrique (image)
[Termes IGN] restitution
[Termes IGN] surveillance
[Termes IGN] télémétrie laser terrestre
[Termes IGN] valeur radiométriqueRésumé : (Auteur) This paper presents an overview of a number of diagnostic campaigns carried out to assess the conservation state of paintings. The specific characteristics required in cultural heritage applications have been investigated and are reported, where two main fields are considered: radiometric analyses using multispectral images and 3D surveying for geometric deformation analysis by means of photogrammetry and laser scanning. The activities described were accomplished in interdisciplinary teams, composed of photogrammetrists, art-historians, restorers and experts of non-destructive diagnostic techniques. Numéro de notice : A2011-496 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2011.00664.x En ligne : http://dx.doi.org/10.1111/j.1477-9730.2011.00664.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31390
in Photogrammetric record > vol 26 n° 136 (December 2011 - February 2012) . - pp 439 - 461[article]Une approche parallèle d'évaluation des paramètres de texture pour l'analyse d'images de grande taille / N. Talla Tankam in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)PermalinkClassification orientée-objet supervisée d'une forêt avec une sélection guidée d'attributs personnalisés / Olivier de Joinville in Revue Française de Photogrammétrie et de Télédétection, n° 195 (Novembre 2011)PermalinkPrediction of the error induced by topography in satellite microwave radiometric observations / Luca Pulvirenti in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)PermalinkReal-time object detection with sub-pixel accuracy using the level set method / F. Burkert in Photogrammetric record, vol 26 n° 134 (June - August 2011)PermalinkObservation de la Terre par télédétection, 1. Fondements physiques, méthodologiques et technologiques, volume 1 / François Becker (2011)PermalinkRecalage d'un nuage de points de scanner laser terrestre avec une image de bâtiment / Abdelhamid Bennis (2011)PermalinkPermalinkTraitement de l'image et de la vidéo / Rachid Belaroussi (2010)PermalinkUse Markov random fields for automatic cloud-shadow detection on high resolution / Sylvie Le Hégarat-Mascle in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 4 (July - August 2009)PermalinkExtraction of land cover themes from aerial ortho-images in mountainous areas using external information / Arnaud Le Bris in Photogrammetric record, vol 23 n° 124 (December 2008 - February 2009)Permalink