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A comparison of fuzzy vs. augmented-ISODATA classification algorithms for cloud-shadow discrimination from Landsat images / A.M. Melesse in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)
[article]
Titre : A comparison of fuzzy vs. augmented-ISODATA classification algorithms for cloud-shadow discrimination from Landsat images Type de document : Article/Communication Auteurs : A.M. Melesse, Auteur ; J.D. Jordan, Auteur Année de publication : 2002 Article en page(s) : pp 905 - 911 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] bande visible
[Termes IGN] classification dirigée
[Termes IGN] classification floue
[Termes IGN] classification ISODATA
[Termes IGN] image Landsat-TM
[Termes IGN] nuage
[Termes IGN] ombreRésumé : (Auteur) Satellite images are the most important source of landcover data over a large range of temporal and spatial scales. However, the complete realization of satellite imagery as a source of landcover information is limited by the presence of contaminants such as cloud and associated shadows in the image. These contaminants are not adequately handled with conventional image classification techniques such as the unsupervised maximumlikelihood technique. This study comprises a comparison of two classification algorithms, the fuzzy technique and an augmented form of the Iterative SelfOrganizing Data Analysis (ISODATA) technique, which were used to discriminate lowaltitude clouds and their shadows on a Landsat Thematic Mapper (TM) image of the Econlockhatchee River basin (Econ), in central Florida. Preliminary conventional unsupervised maxim umlikelihood classification of the image resulted in clouds being mixed with builtups and shadows being mixed with water bodies. Regions containing these two kinds of mixed categories were first masked, then fuzzy and augmented ISODATA classifications were performed on them. The ISODATA classification algorithm was run on the TM visible/shortwave bands and augmented with scatter diagrams of surface temperature versus several vegetation indices; the fuzzy algorithm was run on TM bands 1 through 5 and band 7. An accuracy assessment of the techniques was carried out using 40 randomly selected points within the image. Results of the classifications showed that both algorithms successfully discriminated clouds from other bright features, and shadows from other dark features, with an overall accuracy of greater than 80 percent. Numéro de notice : A2002-182 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/september/2002_sep_905 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22097
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 9 (September 2002) . - pp 905 - 911[article]Techniques for mapping suburban sprawl / J. Epstein in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)
[article]
Titre : Techniques for mapping suburban sprawl Type de document : Article/Communication Auteurs : J. Epstein, Auteur ; K. Payne, Auteur ; E. Kramer, Auteur Année de publication : 2002 Article en page(s) : pp 913 - 918 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] cartographie urbaine
[Termes IGN] classification non dirigée
[Termes IGN] image Landsat
[Termes IGN] urbanisationRésumé : (Auteur) The pervasive problems generated by urban sprawl have prompted us to examine methods for delineating the extent of suburban land cover in Georgia. This paper assesses the advantages and disadvantages of two different methods of mapping suburban neighborhoods: traditional unsupervised classification of Landsat 5 TM data and a newly devised procedure for editing and buffering road coverages. We conclude that, while the amount of time required to edit and buffer road coverages is significantly higher than that for traditional remote sensing techniques, the improved thematic accuracy, spatial contiguity, and potential future uses of the resulting dataset justifies its use in a statewide mapping program. Numéro de notice : A2002-183 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/september/2002_sep_913 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22098
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 9 (September 2002) . - pp 913 - 918[article]Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization / Prasad S. Thenkabail in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
[article]
Titre : Evaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization Type de document : Article/Communication Auteurs : Prasad S. Thenkabail, Auteur ; R.b Smith, Auteur ; E. De Pauw, Auteur Année de publication : 2002 Article en page(s) : pp 607 - 621 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] azote
[Termes IGN] bande infrarouge
[Termes IGN] bande spectrale
[Termes IGN] bande visible
[Termes IGN] blé (céréale)
[Termes IGN] caractérisation
[Termes IGN] cultures
[Termes IGN] image Landsat-TM
[Termes IGN] indice de végétation
[Termes IGN] Leaf Area Index
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] orge (céréale)Résumé : (Auteur) The main goal of the study was to determine optimal waveband centers and widths required to best estimate agricultural crop characteristics. The hyperspectral narrowband data was acquired over 395 to 1010 nanometers using a 1.43-nanometerwide, 430 bands, hand-held spectroradiometer. Broadband data were derived using a Landsat-5 Thematic Mapper image acquired to correspond with field spectroradiometer and ground-truth measurements. Spectral and biophysical data were obtained from 196 sample locations, including forms and rangelands, Six representative crops grown during the main cropping season were selected: barley, wheat, lentil, cumin, chickpea, and vetch. Biophysical variables consisted of leaf area index, wet biornass, dry biomass, plant height, plant nitrogen, and canopy cover.
Narrowband and broadband vegetation indices were computed and their relationship with quantitative crop characteristics were established and compared. The simple narrowband two-band vegetation indices (TBVI) and the optimum multiple-band vegetation indices (OMBVI) models provided the best results. The narrowband TBVI and omBvi models are compared with six other categories of narrow and broadband indices, Compared to the best broadband Tm indices, TBvi explained up to 24 percent greater variability and OMBYI explained up to 27 percent greater variability in estimating different crop variables. A Predominant proportion of crop characteristics are best estimated using data from four narrowbands, in order of importance, centered around 675 nanometers (red absorption maxima), 905 run (near-infrared reflection peak), 720 run (mid portion of the red-edge), and 550 run (green reflectance maxima). The study determined 12 spectral bands and their bandwidths (Table 5) that provide optimal agricultural crop characteristics in the visible and near-infrared portion of the spectrum.Numéro de notice : A2002-134 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.tetracam.com/PDFs/Rec_Cite2.pdf Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22049
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 6 (June 2002) . - pp 607 - 621[article]Fusion radar and optical data for land cover mapping / Nathaniel D. Herold in Geocarto international, vol 17 n° 2 (June - August 2002)
[article]
Titre : Fusion radar and optical data for land cover mapping Type de document : Article/Communication Auteurs : Nathaniel D. Herold, Auteur ; Barry N. Haack, Auteur Année de publication : 2002 Article en page(s) : pp 19 - 27 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] analyse texturale
[Termes IGN] carte d'occupation du sol
[Termes IGN] chatoiement
[Termes IGN] classification dirigée
[Termes IGN] filtre de déchatoiement
[Termes IGN] image Landsat-TM
[Termes IGN] image multicapteur
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] précision relative
[Termes IGN] réalité de terrainRésumé : (Auteur) This study examined the complementarity of radar and optical data for feature identification. Spaceborne radar and Landsat Thematic Mapper (TM ) multispectral data sets were assessed independently and in combination to classify a site near Wad Medani, Sudan. Radar processing procedures included speckle reduction, texture extraction and postprocessing smoothing. Relative accuracy of the resultant classifications was established by comparison to ground truth information derived from field visitation. Neither speckle filtering nor postclassification smoothing were improvements over the poor results obtained with the unfiltered, original radar data. Texture measures were significant improvements over the original data (20 percent overall accuracy increase) and several, but not all, individual classes had excellent results. Landsat TM had good overall results (80 percent correct) but considerable spectral confusion between urban and bare soil. Combination of radar with Landsat TM greatly improved results, achieving near perfect classification of all individual classes. The systematic strategy of this study, determination of the best individual method before introducing the next procedure, itas effective in managing a complex set of analysis possibilities. Numéro de notice : A2002-225 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040208542232 En ligne : https://doi.org/10.1080/10106040208542232 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22139
in Geocarto international > vol 17 n° 2 (June - August 2002) . - pp 19 - 27[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-02021 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)
[article]
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]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)PermalinkThe 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)PermalinkSpatial and temporal analysis of a tidal floodplain landscape-Amapá, Brazil-using geographic information systems and remote sensing / V.F.G. Pereira in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 5 (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 use of Landsat derived multi-temporal NDVI to assess the impact of the construction of the central Pilbara railway on vegetation conditions, Karijini / J. Wilson in Geocarto international, vol 17 n° 1 (March - May 2002)PermalinkFuzzy rule-based classification of remotely sensed imagery / A. Bardossy in IEEE Transactions on geoscience and remote sensing, vol 40 n° 2 (February 2002)PermalinkAdaptation du modèle orbitographique Spot 4 aux satellites / J.C. Clerget (2002)PermalinkEffects of spatial aggregation approaches on classified satellite imagery / H.S. He in International journal of geographical information science IJGIS, vol 16 n° 1 (january 2002)PermalinkEtude de la qualité des éphémérides du satellite Landsat / C. Vergerpion (2002)PermalinkMapping vegetation species succession in a mountainous grassland ecosystem using Landsat, ASTER MI, and Sentinel-2 data / Efosa Gbenga Adagbasa in Plos one, vol 17 n° 1 (January 2022)PermalinkMapping wildfire burns severity in southern California forests and shrub lands using enhanced Thematic Mapper imagery / J. Rogan in Geocarto international, vol 16 n° 4 (December 2001 - February 2002)PermalinkRock glacier mapping: a method utilizing enhanced TM data and GIS modeling techniques / J.R. Janke in Geocarto international, vol 16 n° 3 (September - November 2001)PermalinkSpatial resolution improvement of MERIS images by fusion with TM images / Audrey Minghelli in IEEE Transactions on geoscience and remote sensing, vol 39 n° 7 (July 2001)PermalinkApport de l'imagerie satellitaire optique et radar à la gestion de l'eau et de l'environnement en zone alluviale : étude de la plaine de la Garonne entre Toulouse et St Nicolas de la Grave (France) / Jérôme Soubirane in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 162 (Avril 2001)PermalinkCaractérisation multi-échelle et multi-capteur de la forestation tropicale amazonienne / M. Tsayem Demaze in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 161 (Janvier 2001)PermalinkCartographie des milieux naturels et paysages géomorphologiques : utilisation de photographies aériennes / K.Y. Bertin in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 161 (Janvier 2001)PermalinkCouverture de la France en images d'archives Landsat TM / G. Clayes (2001)PermalinkEtude test sur l'estimation des superficies agricoles à partir d'images Landsat / Olivier Laporte (2001)PermalinkMonitoring and water pollution modelling of the Bosphorus by regression analysis using multitemporal Landsat-TM data / H. Gonca Coskun (2001)PermalinkNatural disaster monitoring by remote sensing in Hungary: waterlogging and floods in the 1998-2001 period / M. Lelkes (2001)Permalink