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A model-based mixture-supervised classification approach in hyperspectral data analysis / M.M. Dundar in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)
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Titre : A model-based mixture-supervised classification approach in hyperspectral data analysis Type de document : Article/Communication Auteurs : M.M. Dundar, Auteur ; D. Landgrebe, Auteur Année de publication : 2002 Article en page(s) : pp 2692 - 2699 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] covariance
[Termes IGN] image hyperspectraleRésumé : (Auteur) It is well known that there is a strong relation between class definition precision and classification accuracy in pattern classification applications. In hyperspectral data analysis, usually classes of interest contain one or more components and may not be well represented by a single Gaussian density function. In this paper, a model-based mixture classifier, which uses mixture models to characterize class densities, is discussed. However, a key outstanding problem of this approach is how to choose the number of components and determine their parameters for such models in practice, and to do so in the face of limited training sets where estimation error becomes a significant factor. The proposed classifier estimates the number of subclasses and class statistics simultaneously by choosing the best model. The structure of class' s covariances is also addressed through a model-based covariance estimation technique introduced in this paper. Numéro de notice : A2002-351 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.807010 En ligne : https://doi.org/10.1109/TGRS.2002.807010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22262
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2692 - 2699[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-02121 RAB Revue Centre de documentation En réserve L003 Disponible Radiative transfer codes applied to hyperspectral data for the retrieval of surface reflectance / K. Staenz in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 3 (December 2002 - January 2003)
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Titre : Radiative transfer codes applied to hyperspectral data for the retrieval of surface reflectance Type de document : Article/Communication Auteurs : K. Staenz, Auteur ; J. Secker, Auteur ; B.C. Gao, Auteur ; C. Davis, Auteur ; C. Nadeau, Auteur Année de publication : 2002 Article en page(s) : pp 194 - 203 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Airborne Visible/InfraRed Imaging Spectrometer
[Termes IGN] extraction
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] réflectance de surface
[Termes IGN] transfert radiatifRésumé : (Auteur) The present investigation evaluates surface reflectance retrieved from Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and Compact Airborne Spectrographic Imager (casi) data using the atmospheric radiative transfer (RT) codes: atmospheric removal program (ATREM), Canadian advanced modified 5S (CAM5S) and moderate atmospheric radiance and transmittance model (MODTRAN4). The retrieved surface reflectances were compared with groundbased reflectances acquired with a GER3700-spectroradiometer for a playa and canola target. The results showed that the best overall performance was achieved with MODTRAN4 (average relative error of 2.3%), followed by ATREM (3.6%) and CAM5S (4.2%). Major differences occur in the stronger gas absorption regions. At wavelengths unaffected by strong gaseous absorption, the performance was similar for the three RT codes even though ATREM and CAM5S make extensive use of analytical expressions and, therefore, have faster execution times. Copyright ISPRS Numéro de notice : A2002-295 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/S0924-2716(02)00121-1 En ligne : https://doi.org/10.1016/S0924-2716(02)00121-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22206
in ISPRS Journal of photogrammetry and remote sensing > vol 57 n° 3 (December 2002 - January 2003) . - pp 194 - 203[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-02051 SL Revue Centre de documentation Revues en salle Disponible 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)
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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]Semi-automated extraction of rivers from digital imagery / C.R. Dillabaugh in Geoinformatica, vol 6 n° 3 (September - November 2002)
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Titre : Semi-automated extraction of rivers from digital imagery Type de document : Article/Communication Auteurs : C.R. Dillabaugh, Auteur ; K.O. Niemann, Auteur ; D.E. Richardson, Auteur Année de publication : 2002 Article en page(s) : pp 263 - 284 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] détection de contours
[Termes IGN] extraction semi-automatique
[Termes IGN] image à haute résolution
[Termes IGN] image numérique
[Termes IGN] image panchromatique
[Termes IGN] image SPOT
[Termes IGN] réseau hydrographique
[Termes IGN] rivièreRésumé : (Auteur) The manual production of vector maps from digital imagery can be a time consuming and costly process. Developing tools to automate this task for specific features, such as roads, has become an important research topic. The purpose of this paper was to present a technique for the semi-automatic extraction of multiple pixel width river features appearing in high resolution satellite imagery. This was accomplished using a two stage, multi resolution procedure. Initial river extraction was performed on low resolution (SPOT multispectral 20 m) imagery. The results from this low resolution extraction were then refined on higher resolution (KFA 1000. panchromatic. 5m) imagery to produce a detailed outline of the channel banks. To perform low resolution extraction a cost surface was generated to represent the combined local evidence of the presence of a river feature. The local evidence of a river was evaluated based on the results of a number of simple operators. Then, with user specified start and end points for the network, rivers were extracted by performing a least cost path search across this surface using the A* algorithm. The low resolution results were transferred to the high resolution imagery as closed contours which provided an estimate of the channel banks. These contours were then fit to the channel banks using the dynamic contours (or snakes) technique. Numéro de notice : A2002-205 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1023/A:1019718019825 En ligne : https://doi.org/10.1023/A:1019718019825 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22120
in Geoinformatica > vol 6 n° 3 (September - November 2002) . - pp 263 - 284[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 057-02031 RAB Revue Centre de documentation En réserve L003 Disponible Techniques for mapping suburban sprawl / J. Epstein in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)
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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]Vector-lifting schemes for lossless coding and progressive archival of multispectral images / A. Benazza-Benyahia in IEEE Transactions on geoscience and remote sensing, vol 40 n° 9 (September 2002)
PermalinkHyperspectral edge filtering for measuring homogeneity of surface cover types / Wim H. Bakker in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 4 (July - August 2002)
PermalinkAnomaly detection and classification for hyperspectral imagery / C.I. Chang in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)
PermalinkEvaluation 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)
PermalinkLarge-area land-cover mapping through scene-based classification compositing / B. Guindon in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
PermalinkPredicting mammal species richness and abundance using multi-temporal NDVI / B.O. Oindo in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
PermalinkPrincipal component analysis for hyperspectral image classification / C. Rodarmel in Surveying and land information systems, vol 62 n° 2 (01/06/2002)
PermalinkTextural 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)
PermalinkDétection de changements par comparaison de couples stéréoscopiques / Franck Jung in Géomatique expert, n° 15 (01/04/2002)
PermalinkFuzzy logic system for road identification using Ikonos images / J. Amini in Photogrammetric record, vol 17 n° 99 (April - September 2002)
PermalinkObject detection using transformed signatures in multitemporal hyperspectral imagery / R. Mayer in IEEE Transactions on geoscience and remote sensing, vol 40 n° 4 (April 2002)
PermalinkProcessing of Ikonos imagery for submetre 3D positioning and building extraction / Clive Simpson Fraser in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 3 (April - June 2002)
PermalinkComparison of GENIE and conventional supervised classifiers for multispectral image feature extraction / N.R. Harvey in IEEE Transactions on geoscience and remote sensing, vol 40 n° 2 (February 2002)
PermalinkA derivative-aided hyperspectral image analysis system for land-cover classification / F. Tsai in IEEE Transactions on geoscience and remote sensing, vol 40 n° 2 (February 2002)
PermalinkLinear spectral random mixture analysis for hyperspectral imagery / C.I. Chang in IEEE Transactions on geoscience and remote sensing, vol 40 n° 2 (February 2002)
PermalinkApprofondissement des techniques de diagnostique des propriétés spectrales d'une culture / Laure Chandelier (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)
PermalinkPermalinkReconstruction 3D de sites urbains par stéréoscopie optique haute résolution / Hélène Oriot in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 166 (Janvier 2002)
PermalinkReconstruction de primitives linéaires 3D en multi-vues pour la modélisation de scènes urbaines / Franck Taillandier (2002)
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