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Large-area land-cover mapping through scene-based classification compositing / B. Guindon in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
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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'imagesRésumé : (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
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 589 - 596[article]Principal component analysis for hyperspectral image classification / C. Rodarmel in Surveying and land information systems, vol 62 n° 2 (01/06/2002)
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Titre : Principal component analysis for hyperspectral image classification Type de document : Article/Communication Auteurs : C. Rodarmel, Auteur ; J. Shan, Auteur Année de publication : 2002 Article en page(s) : pp 115 - 122 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse en composantes principales
[Termes IGN] classification
[Termes IGN] image hyperspectrale
[Termes IGN] utilisation du solRésumé : (Auteur) The availability of hyperspectral images expands the capability of using image classification to study detailed characteristics of objects, but at a cost of having to deal with huge data sets. This work studies the use of the principal component analysis as a preprocessing technique for the classification of hyperspectral images. Two hyperspectral data sets, HYDICE and AVIRIS, were used for the study. A brief presentation of the principal component analysis approach is followed by an examination of the information contents of the principal component image bands, which revealed that only the first few bands contain significant information. The use of the first few principal component images can yield about 70 percent correct classification rate. This study suggests the benefit and efficiency of using the principal component analysis technique as a preprocessing step for the classification of' hyperspectral images. Numéro de notice : A2002-192 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22107
in Surveying and land information systems > vol 62 n° 2 (01/06/2002) . - pp 115 - 122[article]Textural and contextual land-cover classification using single and multiple classifier systems / O. Debeir in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
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Titre : Textural and contextual land-cover classification using single and multiple classifier systems Type de document : Article/Communication Auteurs : O. Debeir, Auteur ; I. Van Der Steen, Auteur ; P. Latinne, Auteur ; P. Van Ham, Auteur ; E. Wolff, Auteur Année de publication : 2002 Article en page(s) : pp 597 - 605 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification non dirigée
[Termes IGN] image Landsat-TM
[Termes IGN] occupation du sol
[Termes IGN] texture d'imageRésumé : (Auteur) The objective of this study was to improve the quality of the digital land-cover and land-use classification when using high-resolution (10 to 30 m) remote sensing data. Three classification techniques were compared, which can be divided into two groups : single classifiers (a five-nearest neighbour and the C4.5 decision tree classifier) and multiple classifier systems (BAGFS). Textural and contextual features (roads, hydrology, relief, etc.) were introduced during the classification process. Eleven land-cover categories, in a Belgian varied landscape, were analysed and classified using Landsat Thematic Mapper data. The accuracy assessment increased with the introduction of textural features and contextual data, between 0.60 and 0.82 for the Kappa coefficient. The best kappa value was achieved using numerous textural and contextual features with the multiple classifier system (BAGFs). Numéro de notice : A2002-133 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.researchgate.net/publication/251430961_Textural_and_Contextual_Land- [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22048
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 597 - 605[article]The role of remote sensing and GIS in enforcement of areas of permanent preservation in the Brazilian Amazon / L.A. Firestone in Geocarto international, vol 17 n° 2 (June - August 2002)
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Titre : The role of remote sensing and GIS in enforcement of areas of permanent preservation in the Brazilian Amazon Type de document : Article/Communication Auteurs : L.A. Firestone, Auteur ; Cristiano B. Souza, Auteur Année de publication : 2002 Article en page(s) : pp 51 - 56 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Amazonie
[Termes IGN] Brésil
[Termes IGN] cartographie thématique
[Termes IGN] classification non dirigée
[Termes IGN] contrôle par télédétection
[Termes IGN] déboisement
[Termes IGN] détection de changement
[Termes IGN] image Landsat-TM
[Termes IGN] occupation du sol
[Termes IGN] protection de l'environnement
[Termes IGN] surveillance écologique
[Termes IGN] sylviculture
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Many studies have used remote sensing to detect forest conversion activities in the Amazon for the purposes of directing policy or generating data for environmental modeling. However, this technology has yet to be applied towards forest law enforcement in the region. In this study we design a violation detection system for Areas of Permanent Preservation using Landsat TM data and GIS, and test it in a logging town in the Eastern Amazon. Our detection methodology generates a simple forest cover map using unsupervised classification techniques, as well as river maps derived directly from remotely sensed data. Data produced through this detection system include a forest cover map, waterway map, map of Areas of Permanent Preservation, and violation map. We include a discussion of the advantages and limitations of each of these data products for law enforcement purposes in the region. Violations were detected in 60% of all Areas of Permanent Preservation in pastures and other cleared properties, showing extremely low law abidance once deforestation occurs. Overall, violation detection resulted in accuracy levels of 88.6%, illustrating the viability of efficiently monitoring land cover for law enforcement purposes in the Amazon. Numéro de notice : A2002-226 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040208542235 En ligne : https://doi.org/10.1080/10106040208542235 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22140
in Geocarto international > vol 17 n° 2 (June - August 2002) . - pp 51 - 56[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-02021 RAB Revue Centre de documentation En réserve L003 Disponible The UK land cover map 2000: construction of a parcel-based vector map from satellite images / R.M. Fuller in Cartographic journal (the), vol 39 n° 1 (June 2002)
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Titre : The UK land cover map 2000: construction of a parcel-based vector map from satellite images Type de document : Article/Communication Auteurs : R.M. Fuller, Auteur ; Gm. Smith, Auteur ; J.M. Sanderson, Auteur ; R.A. Hill, Auteur ; A.G. Thomson, Auteur Année de publication : 2002 Article en page(s) : pp 15 - 25 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] base de données d'occupation du sol
[Termes IGN] carte d'occupation du sol
[Termes IGN] classificateur paramétrique
[Termes IGN] classification dirigée
[Termes IGN] Grande-Bretagne
[Termes IGN] historique des données
[Termes IGN] identification automatique
[Termes IGN] image satellite
[Termes IGN] Royaume-Uni
[Termes IGN] vectorisationRésumé : (Auteur) Land Cover Map 2000 (LCM2000) is a thematic classification of satellite image data covering the entire United Kingdom. The map updates and substantially upgrades the Land Cover Map of Great Britain (LCMGB), made in 1990-92. This paper outlines the character of the map through a description of its specification, production and outputs. The paper is aimed at users of LCM2000 and derived data who need to understand more of the map and its characteristics. The paper also outlines plans for making data available to researchers and applied users. The most important development in LCM2000 was the spectral segmentation of images to generate vector land parcels. Land cover was then identified by the spectral classification of the image data in these parcels. Classification used specially developed procedures which exploited known spatial, spectral and contextual characteristics of land cover. The resultant GIS incorporates, within its vector structure, detailed attribute data which record parcel-based land cover, plus information on class probabilities, data on withinparcel heterogeneity, information on landscape structure and context, cover information from LCMGB, together with a record of each parcel's processing history. Numéro de notice : A2002-171 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1179/caj.2002.39.1.15 En ligne : https://www.tandfonline.com/doi/abs/10.1179/caj.2002.39.1.15 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22086
in Cartographic journal (the) > vol 39 n° 1 (June 2002) . - pp 15 - 25[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 030-02011 RAB Revue Centre de documentation En réserve L003 Disponible Les SIG jouent la carte de l'intercommunalité / Françoise de Blomac in SIG la lettre, n° 37 (mai 2002)
PermalinkEstimation interactive de l'indice foliaire à l'échelle régionale par décomposition "sub-pixelaire" du signal Spot4-Végétation / Fabrice Cipriani in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 167 (Avril 2002)
PermalinkA graphical method for exploring spatiotemporal point distributions / Yukio Sadahiro in Cartography and Geographic Information Science, vol 29 n° 2 (April 2002)
PermalinkImagerie spatiale et aménagements forestiers au Gabon / Marcellin Nziengui in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 167 (Avril 2002)
PermalinkMultiple classifier systems for supervised remote sensing image classification based on dynamic classifier selection / P.C. Smits in IEEE Transactions on geoscience and remote sensing, vol 40 n° 4 (April 2002)
PermalinkUrban simulation using principal components analysis and cellular automata for land-use planning / X. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 4 (April 2002)
PermalinkAssessing effects of input uncertainty in structural landscape classification / Frank Canters in International journal of geographical information science IJGIS, vol 16 n° 2 (march 2002)
PermalinkContrôle de qualité des modèles numériques des bases de données géographiques / J.F. Zelasco in XYZ, n° 90 (mars - mai 2002)
PermalinkDetection of areas associated with flood and erosion caused by a heavy rainfall using multitemporal Landsat TM data / A.S. Dhakal in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 3 (March 2002)
PermalinkThe utility of very high spatial resolution images to identify urban objects / Anne Puissant in Geocarto international, vol 17 n° 1 (March - May 2002)
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