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Optimizing Support Vector Machine learning for semi-arid vegetation mapping by using clustering analysis / L. Su in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 4 (July - August 2009)
[article]
Titre : Optimizing Support Vector Machine learning for semi-arid vegetation mapping by using clustering analysis Type de document : Article/Communication Auteurs : L. Su, Auteur Année de publication : 2009 Article en page(s) : pp 407 - 413 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse de groupement
[Termes IGN] apprentissage automatique
[Termes IGN] carte de la végétation
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] occupation du sol
[Termes IGN] précision de la classification
[Termes IGN] séparateur à vaste marge
[Termes IGN] zone semi-arideRésumé : (Auteur) In remote sensing communities, support vector machine (SVM) learning has recently received increasing attention. SVM learning usually requires large memory and enormous amounts of computation time on large training sets. According to SVM algorithms, the SVM classification decision function is fully determined by support vectors, which compose a subset of the training sets. In this regard, a solution to optimize SVM learning is to efficiently reduce training sets. In this paper, a data reduction method based on agglomerative hierarchical clustering is proposed to obtain smaller training sets for SVM learning. Using a multiple angle remote sensing dataset of a semi-arid region, the effectiveness of the proposed method is evaluated by classification experiments with a series of reduced training sets. The experiments show that there is no loss of SVM accuracy when the original training set is reduced to 34% using the proposed approach. Maximum likelihood classification (MLC) also is applied on the reduced training sets. The results show that MLC can also maintain the classification accuracy. This implies that the most informative data instances can be retained by this approach. Copyright ISPRS Numéro de notice : A2009-297 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2009.02.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2009.02.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29927
in ISPRS Journal of photogrammetry and remote sensing > vol 64 n° 4 (July - August 2009) . - pp 407 - 413[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-09041 SL Revue Centre de documentation Revues en salle Disponible Influence of macroscale and microscale surface roughness on multi-beam RADARSAT-1 data: implications for geological mapping in the Curaçá Valley, Brazil / W.R. Paradella in Photo interprétation, European journal of applied remote sensing, vol 45 n° 2 (juin 2009)
[article]
Titre : Influence of macroscale and microscale surface roughness on multi-beam RADARSAT-1 data: implications for geological mapping in the Curaçá Valley, Brazil Type de document : Article/Communication Auteurs : W.R. Paradella, Auteur ; S. Knust, Auteur ; A. Dos Santos, Auteur ; et al., Auteur Année de publication : 2009 Article en page(s) : pp 51 - 61 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse en composantes principales
[Termes IGN] angle d'incidence
[Termes IGN] Brésil
[Termes IGN] carte géologique
[Termes IGN] géologie structurale
[Termes IGN] image Radarsat
[Termes IGN] niveau d'analyse
[Termes IGN] rugosité du sol
[Termes IGN] topographie locale
[Termes IGN] vallée
[Termes IGN] zone semi-arideRésumé : (Auteur) The dependence of the radar backscatter on macro and microtopography was examined through a collection of multi-beam RADARSAT-I imagery acquired under ascending and descending passes over the Curaça Valley, Northeastern Brazil. Firstly, the influence of both surface roughness regimes on the images was qualitatively evaluated through the use of Principal Component Analysis (PCA). The backscatter variability was emphasized using PCA since the components are linear combinations of all input radar target contributions within the original scenes. Secondly, the research addressed the quantitative influence of the microtopography on RADARSAT-1 Ó0 values through the use of statistical parameters derived from surface roughness profiles of distinct rock alteration products. The investigation has shown that the use of PCA on RADARSAT-1 imagery with distinct look-direction and incidence angles is a suitable technique for highlighting backscattering variability from distinct targets within each scene expressed by tonal and textural patterns. These image patterns reflected a combination of effects related to large-scale surface slope (scarps, crests, positive and negative topographic breaks, etc.) and to ground cover (surface roughness of rock outcrops, residual soils and vegetation cover). The topographic enhancement provided by the RADARSAT-1 PC2, PC3 and PC4 showed to be excellent for structural mapping. In addition, varia-tion in look-azimuth was more important than incidence changes in the enhancement of subtle geomorphic features, often an expression of geological structures and underlying lithology. Finally, the quantitative evaluation of the dependence of Ó0 on micro-scale surface roughness confirmed that the SAR backscattering was not controlled in a predominant manner by the microtopographic variations of the geological surfaces. Copyright Editions Eska Numéro de notice : A2009-522 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30151
in Photo interprétation, European journal of applied remote sensing > vol 45 n° 2 (juin 2009) . - pp 51 - 61[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 104-09021 SL Revue Centre de documentation Revues en salle Exclu du prêt Pan-European forest/non forest mapping with Landsat ETM+ and Corine Land Cover 2000 data / A. Pekkarinen in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 2 (March - April 2009)
[article]
Titre : Pan-European forest/non forest mapping with Landsat ETM+ and Corine Land Cover 2000 data Type de document : Article/Communication Auteurs : A. Pekkarinen, Auteur ; L. Reithmaier, Auteur ; Peter Strobl, Auteur Année de publication : 2009 Article en page(s) : pp 171 - 183 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse de groupement
[Termes IGN] analyse spectrale
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification barycentrique
[Termes IGN] classification dirigée
[Termes IGN] Corine Land Cover
[Termes IGN] Europe (géographie politique)
[Termes IGN] forêt
[Termes IGN] image Landsat-ETM+
[Termes IGN] segmentation d'imageRésumé : (Auteur) This paper describes a simple and adaptive methodology for large area forest/non-forest mapping using Landsat ETM+ imagery and CORINE Land Cover 2000. The methodology is based on scene-by-scene analysis and supervised classification. The fully automated processing chain consists of several phases, including image segmentation, clustering, adaptive spectral representativity analysis, training data extraction and nearest-neighbour classification. This method was used to produce a European forest/non-forest map through the processing of 415 Landsat ETM+ scenes. The resulting forest/non-forest map was validated with three independent data sets. The results show that the map’s overall point-level agreement with our validation data generally exceeds 80%, and approaches 90% in central European conditions. Comparison with country-level forest area statistics shows that in most cases the difference between the forest proportion of the derived map and that computed from the published forest area statistics is below 5%. Copyright ISPRS Numéro de notice : A2009-096 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.09.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.09.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29726
in ISPRS Journal of photogrammetry and remote sensing > vol 64 n° 2 (March - April 2009) . - pp 171 - 183[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-09021 RAB Revue Centre de documentation En réserve L003 Disponible 081-09022 RAB Revue Centre de documentation En réserve L003 Disponible An automated method of scale selection and sheet configuration for multiple sheet census maps with Insets / W.G. Thompson in Cartography and Geographic Information Science, vol 36 n° 1 (January 2009)
[article]
Titre : An automated method of scale selection and sheet configuration for multiple sheet census maps with Insets Type de document : Article/Communication Auteurs : W.G. Thompson, Auteur Année de publication : 2009 Article en page(s) : pp 59 - 70 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] analyse de groupement
[Termes IGN] cartographie automatique
[Termes IGN] carton (carte)
[Termes IGN] densité de population
[Termes IGN] échelle cartographique
[Termes IGN] mise à l'échelleRésumé : (Auteur) In order to create a useful map, the cartographer must select a scale at which the map reader can distinguish features shown on the map and read their labels. However, the choice of scale for a paper map is also constrained by the size of the map sheet and by the cost of working with a large number of sheets. When the feature density pattern allows, space can be conserved by making the map at more than one scale: a small scale suitable for most of the map, while dense features are shown on inset maps at larger scales. Creating inset maps requires the cartographer to make a series of complex, interrelated decisions regarding the most effective overall sheet configuration, which is dependent upon the scale chosen for the main map and how the inset maps are created. The Census Automated Map Production System (CAMPS) applies cartographic logic and density analysis to make these decisions in a fully automated mapping environment. Copyright CaGISociety Numéro de notice : A2009-041 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304009787340214 En ligne : https://doi.org/10.1559/152304009787340214 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29671
in Cartography and Geographic Information Science > vol 36 n° 1 (January 2009) . - pp 59 - 70[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-09011 RAB Revue Centre de documentation En réserve L003 Disponible Detection of multi-scale clusters in network space / S. Shiode in International journal of geographical information science IJGIS, vol 23 n° 1-2 (january 2009)
[article]
Titre : Detection of multi-scale clusters in network space Type de document : Article/Communication Auteurs : S. Shiode, Auteur ; N. Shiode, Auteur Année de publication : 2009 Article en page(s) : pp 75 - 92 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de données
[Termes IGN] analyse de groupement
[Termes IGN] diagramme de Voronoï
[Termes IGN] données multiéchelles
[Termes IGN] espace euclidien
[Termes IGN] réseau routier
[Termes IGN] triangulation de DelaunayRésumé : (Auteur) This paper proposes a new type of point-pattern analytical method, Network-Based Variable-Distance Clumping Method (NT-VCM), to analyse the distribution pattern of point objects and phenomena observed on a network. It is an extension of Planar Variable-Distance Clumping Method (PL-VCM) that was previously defined for point pattern analysis in Euclidian space. The purpose for developing NT-VCM is to identify point agglomerations across different scales called multi-scale network-based clumps among distributed points along a network. The paper first defines a network-based clump as a set of points where all its elements are found within a certain shortest-path distance from at least one other element of the same set. It then proposes NT-VCM as a technique to extract statistically significant multi-scale clumps on a network. The paper also proposes an efficient algorithm for computing NT-VCM, which involves the use of the Voronoi diagram, the Delaunay diagram and the minimum spanning tree that are adapted and newly extended for the purpose of analysis on a network. A comparative study of NT-VCM and PL-VCM using commercial facility data reveals a notable difference in the location as well as the size of the significant multi-scale clumps detected in the both cases. Results from the empirical study confirm that NT-VCM accounts for the actual network distance between the points, thus providing a more accurate description of point agglomerations along the network than PL-VCM does. Copyright Taylor & Francis Numéro de notice : A2009-128 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810801949843 En ligne : https://doi.org/10.1080/13658810801949843 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29758
in International journal of geographical information science IJGIS > vol 23 n° 1-2 (january 2009) . - pp 75 - 92[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-09011 RAB Revue Centre de documentation En réserve L003 Disponible 079-09012 RAB Revue Centre de documentation En réserve L003 Disponible Feature reduction using a singular value decomposition for the iterative guided spectral class rejection hybrid classifier / R. Philipps in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 1 (January - February 2009)PermalinkExtending marine GIS capabilities: 3D representation of fish aggregations using Delaunay tetrahedralisation and Alpha shapes / V. Carette in Geomatica, vol 62 n° 4 (December 2008)PermalinkAn assessment of the effects of cell size on AGNPS modeling of watershed runoff / S.S. Wu in Cartography and Geographic Information Science, vol 35 n° 4 (October 2008)PermalinkClassification fonctionnelle des Public Participation GIS / A. Turkucu in Revue internationale de géomatique, vol 18 n° 4 (septembre – novembre 2008)PermalinkGeneralization-oriented road line classification by means of an artificial neural network / J.L. Garcia Balboa in Geoinformatica, vol 12 n° 3 (September - November 2008)PermalinkIntegration of multitemporal/polarization C-band SAR data sets for land-cover classification / N. Park in International Journal of Remote Sensing IJRS, vol 29 n° 15-16 (August 2008)PermalinkLand cover classification of the North China Plain using MODIS-EVI time series / Z. Xia in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)PermalinkIntegration of Hyperion satellite data and a household social survey to caracterize the causes and consequences of reforestation patterns in the Northern Ecuadorian Amazon / S.J. Walsh in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 6 (June 2008)PermalinkComparison of nine fusion techniques for very high resolution data / K.G. Nikolapoulos in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 5 (May 2008)PermalinkComparison and improvement of wavelet-based image fusion / G. Hong in International Journal of Remote Sensing IJRS, vol 29 n°3-4 (February 2008)Permalink