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Landsat urban mapping based on a combined spectral-spatial methodology / B. Guindon in Remote sensing of environment, vol 92 n° 2 (15/08/2004)  

Public [article]  inRemote sensing of environment > vol 92 n° 2 (15/08/2004) . - pp 218 - 232 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 sol Résumé : (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 [article]

Quantitative assessment of a haze suppression methodology for satellite imagery: effect on land cover classification performance / Y. Zhang in IEEE Transactions on geoscience and remote sensing, vol 41 n° 5 (May 2003)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 41 n° 5 (May 2003) . - pp 1082 - 1089 Titre : Quantitative assessment of a haze suppression methodology for satellite imagery: effect on land cover classification performance Type de document : Article/Communication Auteurs : Y. Zhang, Auteur ; B. Guindon, Auteur Année de publication : 2003 Article en page(s) : pp 1082 - 1089 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] cartographie topographique [Termes IGN] classification [Termes IGN] estimation statistique [Termes IGN] fumée [Termes IGN] image Landsat-TM [Termes IGN] précision radiométrique [Termes IGN] recherche d'information [Termes IGN] représentation multiple [Termes IGN] test de performance Résumé : (Auteur) A number of haze removal methods for, satellite imagery have been described in the literature, but few papers have quantified their effectiveness within the context of a postprocessing applications scenario. In this, paper, the haze optimized transform (HOT) approach for visibleband correction is described, and its impact on classification performance is evaluated. Assessment is conducted at three levels: radiometric level of accuracy, improvement in interclass separability, and classification accuracy. Results obtained from hazy scenes and their dehazed, counterparts are compared with those from reference or "benchmark" clear scenes. Radiometric analyses of pseudoinvariant features (dense forest stands) indicate that effective haze reduction can be realized for differential HOT response levels of up to 20 for Landsat Thematic Mapper scenes. This level of atmospheric contamination is severe enough, to result in significant thematic class confusion, wherein visibleband radiances of vegetated areas are at levels normally associated with urban features under clear sky conditions. Numéro de notice : A2003-207 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.811817 En ligne : https://doi.org/10.1109/TGRS.2003.811817 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22503 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-03051	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Large-area land-cover mapping through scene-based classification compositing / B. Guindon in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 589 - 596 Titre : Large-area land-cover mapping through scene-based classification compositing Type de document : Article/Communication Auteurs : B. Guindon, Auteur ; C.M. Edmonds, Auteur Année de publication : 2002 Article en page(s) : pp 589 - 596 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse de groupement [Termes IGN] bassin hydrographique [Termes IGN] carte d'occupation du sol [Termes IGN] classification non dirigée [Termes IGN] image Landsat-MSS [Termes IGN] image Landsat-TM [Termes IGN] modèle stéréoscopique [Termes IGN] recouvrement d'images Résumé : (Auteur) Over the past decade, a number of initiatives have been undertaken to create definitive national and global data sets consisting of precision corrected Landsat Multispectral Scanner (Mss) and Thematic Mapper (TM) scenes. One important application of these data is the derivation of large area ]andcover products spanning multiple satellite scenes. A popular approach to land-cover mapping on this scale involves merging constituent scenes into image mosaics prior to image clustering and cluster labeling, thereby eliminating redundant geographic coverage arising from overlapping imaging swaths of adjacent orbital tracks. In this paper, arguments are presented to support the view that areas of overlapping coverage contain important information that can be used to assess and improve classification performance. A methodology is presented for the creation of large area land-cover products through the compositing of independently classified scenes. Statistical analyses of classification consistency between scenes in overlapping regions are employed both to identify mislabeled clusters and to provide a measure of classification confidence for each scene at the cluster level. During classification compositing, confidence measures are used to rationalize conflicting classifications in overlap regions and to create a relative confidence layer, sampled at the pixel level, which characterizes the spatial variation in classification quality over the final product. The procedure is illustrated with results from a synoptic mapping project of the Great Lakes watershed that involved the classification and compositing of 46 Landsat Mss scenes. Numéro de notice : A2002-132 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/june/2002_jun_589-596. [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22047 [article]

Traitement et analyse des images digitales fournies par divers télédétecteurs orbitaux et aéroportés / D.G. Goodenough in Photo interprétation, vol 1982 n° 6 (Novembre 1982)

Public [article]  inPhoto interprétation > vol 1982 n° 6 (Novembre 1982) . - 17 p. Titre : Traitement et analyse des images digitales fournies par divers télédétecteurs orbitaux et aéroportés Type de document : Article/Communication Auteurs : D.G. Goodenough, Auteur ; P.M. Teillet, Auteur ; B. Guindon, Auteur Année de publication : 1982 Article en page(s) : 17 p. Langues : Français (fre) Anglais (eng) Espagnol (spa) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] agriculture [Termes IGN] Canada [Termes IGN] correction d'image [Termes IGN] image Landsat [Termes IGN] projection Universal Transverse Mercator [Termes IGN] redressement [Termes IGN] relief [Termes IGN] satellite d'observation de la mer [Termes IGN] sylviculture Numéro de notice : A1982-001 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=23596 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
104-82061	RAB	Revue	Centre de documentation	En réserve L003	Disponible