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Comparing ARTMAP neural network with the maximum-likelihood classifier for detecting urban change / K.C. Seto in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
[article]
Titre : Comparing ARTMAP neural network with the maximum-likelihood classifier for detecting urban change Type de document : Article/Communication Auteurs : K.C. Seto, Auteur ; W. Liu, Auteur Année de publication : 2003 Article en page(s) : pp 981 - 990 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] agrégation spatiale
[Termes IGN] analyse comparative
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] classification par réseau neuronal
[Termes IGN] croissance urbaine
[Termes IGN] détection de changement
[Termes IGN] image Landsat-TM
[Termes IGN] milieu urbainRésumé : (Auteur) Urbanization has profound effects on the environment at local, regional, and global scales. Effective detection of urban change using remote sensing data will be an essential component of global environmental change research, regional planning. and natural resource management. This paper presents results from an ARTMAP neural network to detect urban change with Landsat TM images from two periods. Classification of urban change, and, in particular, conversion of agriculture to urban, was statistically more accurate with ARTMAP than with a more conventional technique, the Bayesian maximum-likelihood classifier (MLC). The effect of different levels of class aggregation on the performance of change detection was also explored with ARTMAP and MLC. Because ARTMAP explicitly allows "many-to-one "mapping, classification using coarse class resolution and fine class resolution training data generated similar results. Together, these results suggest that ARTMAP can reduce labor and computational costs associated with assembling training data while concurrently generating more accurate urban change detection results. Numéro de notice : A2003-228 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.981 En ligne : http://dx.doi.org/10.14358/PERS.69.9.981 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22523
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 981 - 990[article]A comparison of urban mapping methods using high-resolution digital imagery / N. Thomas in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
[article]
Titre : A comparison of urban mapping methods using high-resolution digital imagery Type de document : Article/Communication Auteurs : N. Thomas, Auteur ; C. Hendrix, Auteur ; Russell G. Congalton, Auteur Année de publication : 2003 Article en page(s) : pp 963 - 972 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] Arizona (Etats-Unis)
[Termes IGN] cartographie urbaine
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] classification dirigée
[Termes IGN] classification non dirigée
[Termes IGN] image à résolution métrique
[Termes IGN] image à très haute résolution
[Termes IGN] segmentation d'imageRésumé : (Auteur) Recent advances in digital airborne sensors and satellite platforms make spatially accurate, high-resolution multispectral imagery readily available. These advances provide the opportunity for a host of new applications to address and solve problems. High-resolution imagery is particularly well suited to urban applications. Previous data sources (such as Landsat TM) did not show the spatial detail necessary to provide many urban planning solutions. This paper provides an overview of a project in which one-meter digital imagery was used to produce a map of pervious and impervious surfaces to be used by the city of Scottsdale, Arizona for storm-water estimation. The increased spatial information in one-meter or less resolution imagery strains the usefulness of image classification using traditional supervised and unsupervised spectral classification algorithms. This study assesses the accuracy of three different methods for extracting land-cover/land-use information from high-resolution imagery of urban environments : (1) combined supervised/unsupervised spectral classification, (2) raster-based spatial modeling and (3) image segmentation classification using tree analysis. A discussion of the results and relative merits of each method is included. Numéro de notice : A2003-226 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.963 En ligne : https://doi.org/10.14358/PERS.69.9.963 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22521
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 963 - 972[article]Geometric information from Ikonos: strict and highly accurate solution based on VirtuoZo / Z. Hu in GIM international, vol 17 n° 9 (September 2003)
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Titre : Geometric information from Ikonos: strict and highly accurate solution based on VirtuoZo Type de document : Article/Communication Auteurs : Z. Hu, Auteur Année de publication : 2003 Article en page(s) : pp 42 - 45 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image panchromatique
[Termes IGN] modèle numérique de terrain
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] point d'appui
[Termes IGN] résiduRésumé : (Auteur) Since the pixel size of panchromatic Ikonos imagery is one metre, it is desirable that the planimetric and height error after georeferencing be smaller. Which method provides this high accuracy requirement ? Three processing methods have been tested : (1) Ikonos RPC parameters only, (2) an associated adjustment of RPC parameters with control points and (3) a strict geometric model based on affine transformation. The adjustment of RPC parameters with one or two control points improves accuracy significantly, especially in elevation. Using only five control points, the strict model yields very high accuracy of 5 to 12 cm in X,Y and Z with one pair of stereo images covering. This method does not need RPC coefficients, whilst the coordinate system can be any independent one. The strict model represents a new step forward, both in theory and application, for high-resolution Ikonos imagery processing. Numéro de notice : A2003-238 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22533
in GIM international > vol 17 n° 9 (September 2003) . - pp 42 - 45[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 061-03091 RAB Revue Centre de documentation Revues en salle Disponible A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas / A.K. Shackelford in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
[article]
Titre : A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas Type de document : Article/Communication Auteurs : A.K. Shackelford, Auteur ; C.H. Davis, Auteur Année de publication : 2003 Article en page(s) : pp 1920 - 1932 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] classification floue
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] milieu urbain
[Termes IGN] texture d'imageRésumé : (Auteur) In this paper, we investigate the usefulness of high-resolution multispectral satellite imagery for classification of urban and suburban areas and present a fuzzy logic methodology to improve classification accuracy. Panchromatic and multispectral IKONOS image datasets are analyzed for two urban locations in this study. Both multispectral and pansharpened multispectral images are first classified using a traditional maximum-likelihood approach. Maximum-likelihood classification accuracies between 79 % to 87 % were achieved with significant misclassification error between the spectrally similar Road and Building urban land cover types. A number of different texture measures were investigated, and a length-width contextual measure is developed. These spatial measures were used to increase the discrimination between spectrally similar classes, thereby yielding higher accuracy urban land cover maps. Finally, a hierarchical fuzzy classification approach that makes use of both spectral and spatial information is presented. This technique is shown to increase the discrimination between spectrally similar urban land cover classes and results in classification accuracies that are 8 % to I I% larger than those from the traditional maximumlikelihood approach. Numéro de notice : A2003-249 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.814627 En ligne : https://doi.org/10.1109/TGRS.2003.814627 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22544
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 1920 - 1932[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03091 RAB Revue Centre de documentation En réserve L003 Disponible Spectral resolution requirements for mapping urban areas / Martin Herold in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
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Titre : Spectral resolution requirements for mapping urban areas Type de document : Article/Communication Auteurs : Martin Herold, Auteur ; M.E. Gardner, Auteur ; D.A. Roberts, Auteur Année de publication : 2003 Article en page(s) : pp 1907 - 1919 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] cartographie urbaine
[Termes IGN] classification
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image optique
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] précision de la classificationRésumé : (Auteur) This study evaluated how spectral resolution of spatial resolution optical remote sensing data influences detailed mapping of urban land cover. A comprehensive regional spectral library and low altitude data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) were used to characterize the spectral properties of urban land cover. The Bhattacharyya distance was applied as a measure of spectral separability to determine a most suitable subset of 14 AVIRIS bands for urban mapping. We evaluated the performance of this spectral setting versus common multispectral sensors such as Ikonos by assessing classification accuracy for 26 urban land cover classes. Significant limitations for current multispectral sensors were identified, where the location and broadband character of the spectral bands only marginally resolved the complex spectral characteristics of the urban environment, especially for built surface types. However, the AVIRIS classification accuracy did not exceed 66.6% for 22 urban cover types, primarily due to spectral similarities of specific urban materials and high withinclass variability. Numéro de notice : A2003-248 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.815238 En ligne : https://doi.org/10.1109/TGRS.2003.815238 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22543
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 1907 - 1919[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03091 RAB Revue Centre de documentation En réserve L003 Disponible A comparison of BRDF models for the normalization of satellite optical data to a standard sun-target-sensor geometry / R. Latifovic in IEEE Transactions on geoscience and remote sensing, vol 41 n° 8 (August 2003)PermalinkDegradation of GPS performance in geomagnetically disturbed conditions / E.L. Afraimovitch in GPS solutions, vol 7 n° 2 (August 2003)PermalinkComparing two sets of polygons / M. Gombosi in International journal of geographical information science IJGIS, vol 17 n° 5 (july - August 2003)PermalinkAnalysis of hyperspectral data for estimation of temperate forest canopy nitrogen concentration: Comparison between an Airborne (AVIRIS) and a spaceborne (Hyperion) sensor / M.L. Smith in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)PermalinkComparison of Earth observing-1 ALI and Landsat ETM+ for crop identification and yield prediction in Mexico / D.B. Lobell in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)PermalinkData continuity of Earth observing 1 (EO-1) advanced land imager (ALI) and Landsat TM and ETM+ / R. Byant in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)PermalinkEvaluation of airborne video data for land-cover classification accuracy assessment / I.T. Grierson in Geocarto international, vol 18 n° 2 (June - August 2003)PermalinkPotential and limits of InSAR data for building reconstruction in built-up area / Uwe Stilla in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)PermalinkPractical experiences with automatic aerial triangulation using different software packages / G. Buyuksalih in Photogrammetric record, vol 18 n° 102 (June - August 2003)PermalinkProcessing Hyperion and ALI for forest classification / D.G. Goodenough in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)PermalinkComparison of interannual intrinsic modes in hemispheric sea ice covers and other geophysical parameters / P. Gloersen in IEEE Transactions on geoscience and remote sensing, vol 41 n° 5 (May 2003)PermalinkCapteurs d'images CCD et CMOS : comparaison des technologies et perspectives / P. Magnan in Géomatique expert, n° 24 (01/04/2003)PermalinkA comparative analysis of scanned maps and imagery for mapping applications / Costas Armenakis in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 5-6 (April - May 2003)PermalinkComparing texture analysis methods through classification / P. Maillard in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 4 (April 2003)PermalinkEvaluation quantitative de méthodes d'extraction de rues : choix d'une référence de comparaison / Renaud Péteri in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 170 (Avril 2003)PermalinkComparaison de deux serveurs internet cartographiques / Emilie Parrain (2003)PermalinkPermalinkComparing RADARSAT-1 and IKONOS satellite images for urban features detection / Dan Johan Weydahl (2003)PermalinkEvaluer et aménager les réseaux de transport / T. Fernique (2003)PermalinkMise en place d'un outil permettant de cartographier les opérations en terme financier réalisées par la région de Champagne-Ardenne, Volume 1. Mémoire / E. Allain (2003)Permalink