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Urban land-cover change analysis in central Puget Sound / M. Alberti in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 9 (September 2004)
[article]
Titre : Urban land-cover change analysis in central Puget Sound Type de document : Article/Communication Auteurs : M. Alberti, Auteur ; R. Weeks, Auteur ; S. Coe, Auteur Année de publication : 2004 Article en page(s) : pp 1043 - 1052 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] analyse diachronique
[Termes IGN] classification dirigée
[Termes IGN] croissance urbaine
[Termes IGN] détection de changement
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] occupation du sol
[Termes IGN] Washington D.C.Résumé : (Auteur) A methodology was developed to interpret and assess land cover change between 1991 and 1999 in Central Puget Sound, Washington at several scales (landscape, sub-basins, and 90 m grid window) relevant to regional and local decision makers. Land cover data are derived from USGS Landsat (Thematic Mapper and Enhanced Thematic Mapper +) images of Central Puget Sound. Landsat data were registered, intercalibrated, and corrected for atmosphere and topography to ensure accuracy of land cover change assessment. We apply a hybrid classification method to each image to address the spectral heterogeneity of urbanizing regions. The method combines a supervised classification approach with a spectral unmixing approach to produce seven classes: > 75 percent impervious, 15 to 75 percent impervious, forest, grass, clear cut, bare soil, and water. Land cover change is identified using the direct spatial comparison of classified images derived independentlyfor each time period. We assess that the overall accuracy of each classified image was 91 Percent for 1991 and 88 percent for 1999 respectively, which produces an accuracy of 85 percent for the change analysis. Our results show that urban growth over the last decade has produced an overall 6.7 percent increase in paved area. Numéro de notice : A2004-346 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.9.1043 En ligne : https://doi.org/10.14358/PERS.70.9.1043 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26873
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 9 (September 2004) . - pp 1043 - 1052[article]Landsat urban mapping based on a combined spectral-spatial methodology / B. Guindon in Remote sensing of environment, vol 92 n° 2 (15/08/2004)
[article]
Titre : Landsat urban mapping based on a combined spectral-spatial methodology Type de document : Article/Communication Auteurs : B. Guindon, Auteur ; Y. Zhang, Auteur ; C. Dillabaugh, Auteur Année de publication : 2004 Article en page(s) : pp 218 - 232 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Calgary
[Termes IGN] cartographie urbaine
[Termes IGN] classification
[Termes IGN] données maillées
[Termes IGN] données vectorielles
[Termes IGN] fusion d'images
[Termes IGN] identification automatique
[Termes IGN] image Landsat-TM
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] Ontario (Canada)
[Termes IGN] Ottawa
[Termes IGN] pixel
[Termes IGN] utilisation du solRésumé : (Auteur) Urban mapping using Landsat Thematic Mapper (TM) imagery presents numerous challenges. These include spectral mixing of diverse land cover components within pixels, spectral confusion with other land cover features such as fallow agricultural fields and the fact that urban classes of interest are of the land use and not the land cover category. A new methodology to address these issues is proposed. This approach involves, as a first step, the generation of two independent but rudimentary land cover products, one spectral-based at the pixel level and the other segment-based. These classifications are then merged through a rule-based approach to generate a final product with enhanced land use classes and accuracy. A comprehensive evaluation of derived products of Ottawa, Calgary and cities in southwestern Ontario is presented based on conventional ground reference data as well as inter-classification consistency analyses. Producer accuracies of 78% and 73% have been achieved for urban 'residential' and 'commercial/industrial' classes. respectively. The capability of Landsat TM to detect low density residential areas is assessed based on dwelling and population data derived from aerial photography and the 2001 Canadian census. For low population densities (i.e. below 3000 persons/km2), density is observed to be monotonically related to the fraction of pixels labeled 'residential'. At higher densities, the fraction of pixels labeled 'residential' remains constant due to Landsat's inability to distinguish between high-rise apartment dwellings and commercial/industrial structures. Numéro de notice : A2004-335 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.06.015 En ligne : https://doi.org/10.1016/j.rse.2004.06.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26862
in Remote sensing of environment > vol 92 n° 2 (15/08/2004) . - pp 218 - 232[article]Assessment of a semantic statistical approach to detecting land covers change using inconsistent data sets / A. Comber in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 8 (August 2004)
[article]
Titre : Assessment of a semantic statistical approach to detecting land covers change using inconsistent data sets Type de document : Article/Communication Auteurs : A. Comber, Auteur ; P. Fischer, Auteur ; R. Wadsworth, Auteur Année de publication : 2004 Article en page(s) : pp 931 - 938 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse diachronique
[Termes IGN] base de données d'occupation du sol
[Termes IGN] classification dirigée
[Termes IGN] détection de changement
[Termes IGN] données de terrain
[Termes IGN] interopérabilité sémantique
[Termes IGN] jeu de données localisées
[Termes IGN] métadonnées géographiques
[Termes IGN] occupation du sol
[Termes IGN] ontologie
[Termes IGN] Royaume-Uni
[Termes IGN] statistique descriptiveRésumé : (Auteur) A semantic, statistical approach to reconciling data with different ontologies is introduced. It was applied to UK land cover datasets from 1990 and 2000 in order to identify land cover change. The approach combined expression of expert opinion about how the semantics of the two datasets relate with spectral homogeneity metadata. A sample of the changes identified was assessed by field validation. Change was identified in 41 percent of the visited parcels, and all of the false positives were found to be due to classification error in either dataset. Thus, the approach reliably identifies inconsistency between two datasets, and the results indicate the suitability of uncertainty formalisms. The inclusion of extensive object-level metadata by the data producers greatly facilitates practical solutions to problems of data interoperability. Numéro de notice : A2004-308 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.8.931 En ligne : https://doi.org/10.14358/PERS.70.8.931 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26835
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 8 (August 2004) . - pp 931 - 938[article]Automated building generalization based on urban morphology and gestalt theory / Z. Li in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)
[article]
Titre : Automated building generalization based on urban morphology and gestalt theory Type de document : Article/Communication Auteurs : Z. Li, Auteur ; Hongxiang Yan, Auteur ; Tinghua Ai, Auteur ; J. Chen, Auteur Année de publication : 2004 Article en page(s) : pp 513 - 534 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse spatiale
[Termes IGN] base de données cartographiques
[Termes IGN] diagramme de Voronoï
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] généralisation du bâti
[Termes IGN] morphologie mathématique
[Termes IGN] reconnaissance de formes
[Termes IGN] système d'information géographique
[Termes IGN] théorie des graphes
[Termes IGN] triangulation de Delaunay
[Termes IGN] zone urbaine
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) Building generalization is a difficult operation due to the complexity of the spatial distribution of buildings and for reasons of spatial recognition. In this study, building generalization is decomposed into two steps, i.e. building grouping and generalization execution. The neighbourhood model in urban morphology provides global constraints for guiding the global partitioning of building sets on the whole map by means of roads and rivers, by which enclaves, blocks, superblocks or neighbourhoods are formed, whereas the local constraints from Gestalt principles provide criteria for the further grouping of enclaves, blocks, superblocks and/or neighbourhoods. In the grouping process, graph theory, Delaunay triangulation and the Voronoi diagram are employed as supporting techniques. After grouping, some useful information, such as the sum of the building's area, the mean separation and the standard deviation of the separation of buildings, is attached to each group. By means of the attached information, an appropriate operation is selected to generalize the corresponding groups. Indeed, the methodology described brings together a number of welldeveloped theories/techniques, including graph theory, Delaunay triangulation, the Voronoi diagram, urban morphology and Gestalt theory, in such a way that multiscale products can be derived. Numéro de notice : A2004-285 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001702021 En ligne : https://doi.org/10.1080/13658810410001702021 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26812
in International journal of geographical information science IJGIS > vol 18 n° 5 (august 2004) . - pp 513 - 534[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-04051 RAB Revue Centre de documentation En réserve L003 Disponible Classification of hyperspectral remote sensing images with support vector machines / F. Melgani in IEEE Transactions on geoscience and remote sensing, vol 42 n° 8 (August 2004)
[article]
Titre : Classification of hyperspectral remote sensing images with support vector machines Type de document : Article/Communication Auteurs : F. Melgani, Auteur ; Lorenzo Bruzzone, Auteur Année de publication : 2004 Article en page(s) : pp 1778 - 1790 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] classification barycentrique
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectraleRésumé : (Auteur) This paper addresses the problem of the classification of hyperspectral remote sensing images by support vector machines (SVMs). First, we propose a theoretical discussion and experimental analysis aimed at understanding and assessing the potentialities of SVM classifiers in hyperdimensional feature spaces. Then, we assess the effectiveness of SVMs with respect to conventional feature-reduction-based approaches and their performances in hypersubspaces of various dimensionalities. To sustain such an analysis, the performances of SVMs are compared with those of two other nonparametric classifiers (i.e., radial basis function neural networks and the K-nearest neighbor classifier). Finally, we study the potentially critical issue of applying binary SVMs to multiclass problems in hyperspectral data. In particular, four different multiclass strategies are analyzed and compared: the one-against-all, the one-against-one, and two hierarchical tree-based strategies. Different performance indicators have been used to support our experimental studies in a detailed and accurate way, i.e., the classification accuracy, the computational time, the stability to parameter setting, and the complexity of the multiclass architecture. The results obtained on a real Airborne Visible/Infrared Imaging Spectroradiometer hyperspectral dataset allow to conclude that, whatever the multiclass strategy adopted, SVMs are a valid and effective alternative to conventional pattern recognition approaches (feature-reduction procedures combined with a classification method) for the classification of hyperspectral remote sensing data. Numéro de notice : A2004-389 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.831865 En ligne : https://doi.org/10.1109/TGRS.2004.831865 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26916
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 8 (August 2004) . - pp 1778 - 1790[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04081 RAB Revue Centre de documentation En réserve L003 Disponible Clustering with obstacles for geographical data mining / V. Estivill-Castro in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 1-2 (August 2004 - April 2005)PermalinkImplementation and evaluation of a hypercube-based method for spatiotemporal exploration and analysis / Pierre Marchand in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 1-2 (August 2004 - April 2005)PermalinkInteractive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty / Arko Lucieer in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)PermalinkUncertainty and confidence in land cover classification using a hybrid classifier approach / W. Liu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 8 (August 2004)PermalinkMapping regional land cover with MODIS data for biological conservation: examples from the greater Yellowstone ecosystem, USA and PARA state, Brazil / K.J. Wessels in Remote sensing of environment, vol 92 n° 1 (15 July 2004)PermalinkMapping vegetation in a heterogeneous mountain rangeland using Landsat data: an alternative method to define and classify land-cover units / A.M. Cingolani in Remote sensing of environment, vol 92 n° 1 (15 July 2004)PermalinkIntegrating imaging spectroscopy (445-2543nm) and geographic information systems for post-disaster management: a case of hailstorm damage in Sydney / S. Bhaskaran in International Journal of Remote Sensing IJRS, vol 25 n° 13 (July 2004)PermalinkUsing Thematic Mapper data for change detection and sustainable use of cultivated land: a case study in the Yellow River delta, China / G.X. Zhao in International Journal of Remote Sensing IJRS, vol 25 n° 13 (July 2004)PermalinkA split model for extraction of subpixel impervious surface information / Y. Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 7 (July 2004)PermalinkWavelet for urban spatial feature discrimination: comparisons with fractal, spatial autocorrelation, and spatial co-occurrence approaches / Nina S.N. Lam in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 7 (July 2004)Permalink