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Using maximum likelihood (ML) and maximum a prior probability (MAP) in iterative self-organizing data (Isodata) / Hassan A. Karimi in Geocarto international, vol 19 n° 1 (March - May 2004)
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Titre : Using maximum likelihood (ML) and maximum a prior probability (MAP) in iterative self-organizing data (Isodata) Type de document : Article/Communication Auteurs : Hassan A. Karimi, Auteur ; Jinzheng Peng, Auteur Année de publication : 2004 Article en page(s) : pp 29 - 36 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] carte de Kohonen
[Termes IGN] classification non dirigée
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] image à très haute résolution
[Termes IGN] image satellite
[Termes IGN] itérationRésumé : (Auteur) With the availability of high-resolution satellite imagery featuring as high as 1 meter resolution in the panchromatic mode and 3-meter resolution in the multispectral mode, there is an interest by many new commercial and public service applications such as cellular telephones coverage area design, urban/land cover planning, and real estate marketing to extract features from images automatically. To that end, the demand for unsupervised classification techniques is growing. In this paper, the Maximum Likelihood (ML) and Maximum A prior Probability (MAP) algorithms are used as decision rules to find boundaries of classes computed by the Iterative Self-Organizing Data (ISOADATA) algorithm. Different satellite images with different resolutions were used to experiment with these algorithms. The results of comparing and analyzing the algorithms revealed that MAP-ISODATA performed better than ML-ISODATA even when the same initial matrix was used. It was shown that there was no significant différence between ML-ISODATA and MAP-ISODATA in terms of accuracy. It was also realized that better results could be obtained if homogenous initialization strategies were used. Numéro de notice : A2004-232 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040408542296 Date de publication en ligne : 02/01/2008 En ligne : https://doi.org/10.1080/10106040408542296 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26759
in Geocarto international > vol 19 n° 1 (March - May 2004) . - pp 29 - 36[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-04011 RAB Revue Centre de documentation En réserve L003 Disponible Effect of grain size on remotely sensed spectral reflectance of sandy desert surfaces / G.S. Okin in Remote sensing of environment, vol 89 n° 3 (15/02/2004)
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Titre : Effect of grain size on remotely sensed spectral reflectance of sandy desert surfaces Type de document : Article/Communication Auteurs : G.S. Okin, Auteur ; T.H. Painter, Auteur Année de publication : 2004 Article en page(s) : pp 272 - 280 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] désert
[Termes IGN] érosion éolienne
[Termes IGN] image AVIRIS
[Termes IGN] réflectance
[Termes IGN] sable
[Termes IGN] transfert radiatifRésumé : (Auteur) The effect of soil surface texture on spectral reflectance is reported for a site in the Mojave Desert. Abandoned central-pivot agricultural fields in the Manix Basin of southeastern California have introduced deflationary surface, into the otherwise stable, armored desert surface. This has resulted in sand plumes, eroded from the fields by wind, transported by saltation and deposited downwind of the fields. Grain size analysis of this wind-transported material reveals a fractionation by size within the plume, with smaller effective particle size toward the toe of the plume. This fractionation results from the greater mobility of smaller particles, and the longer saltation paths they take once airborne. Radiative transfer modeling of quartz grains with absorbing rinds indicates that the difference in grain size observed in the field should be revealed in apparent surface reflectance and are resolvable within the noise-equivalent delta-reflectance of the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) instrument. Analysis of AVIRIS-derived apparent surface reflectance demonstrates the expected negative correlation between effective grain size of sand in the plume and reflectance, with the most significant correlations in the short-wave infrared. The change in reflectance per mm change in particle diameter was - 0.06 at & ~ 1.7 um and - 0.08 at & ~ 2.2 um with R2 = 0.89 and 0.93, respectively. Numéro de notice : A2004-018 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.10.008 En ligne : https://doi.org/10.1016/j.rse.2003.10.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26546
in Remote sensing of environment > vol 89 n° 3 (15/02/2004) . - pp 272 - 280[article]An artificial neural network approach for landslide hazard zonation in the Bhagirathi (Ganga) Valley, Himalayas / M.K. Arora in International Journal of Remote Sensing IJRS, vol 25 n° 3 (February 2004)
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Titre : An artificial neural network approach for landslide hazard zonation in the Bhagirathi (Ganga) Valley, Himalayas Type de document : Article/Communication Auteurs : M.K. Arora, Auteur ; A.S. Das Gupta, Auteur ; Ravi P. Gupta, Auteur Année de publication : 2004 Article en page(s) : pp 559 - 572 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] cartographie des risques
[Termes IGN] effondrement de terrain
[Termes IGN] Himalaya
[Termes IGN] image IRS
[Termes IGN] réseau neuronal artificiel
[Termes IGN] risque naturel
[Termes IGN] système d'information géographique
[Termes IGN] zone à risqueRésumé : (Auteur) Landslides are natural hazards that cause havoc to both property and life every year, especially in the Himalayas. Landslide hazard zonation (LHZ) of areas affected by landslides therefore is essential for future developmental planning and organization of various disaster mitigation programmes. The conventional Geographical Information System (GIS)-based approaches for LHZ suffer from the subjective weight rating system where weights are assigned to different causative factors responsible for triggering a landslide. Alternatively, artificial neural networks (ANNs) may be applied. These are considered to be independent of any strict assumptions or bias, and they determine the weights objectively in an iterative fashion. In this study, an ANN has been applied to generate an LHZ map of an area in the Bhagirathi Valley, Himalayas, using spatial data prepared from IRS-IB satellite sensor data and maps from other sources. The accuracy of the LHZ map produced by the ANN is around 80% with a very small training dataset. The distribution of landslide hazard zones derived from ANN shows similar trends as that observed with the existing landslides locations in the field. A comparison of the results with an earlier produced GIS-based LHZ map of the same area by the authors (using the ordinal weight rating method) indicates that ANN results are better than the earlier method. Numéro de notice : A2004-063 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000156819 En ligne : https://doi.org/10.1080/0143116031000156819 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26591
in International Journal of Remote Sensing IJRS > vol 25 n° 3 (February 2004) . - pp 559 - 572[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04031 RAB Revue Centre de documentation En réserve L003 Exclu du prêt vol 66 n° 1 - January 2004 (Bulletin de Graphical models)
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Titre : vol 66 n° 1 - January 2004 Type de document : Périodique Année de publication : 2004 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image Numéro de notice : 095-0401 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=14357 [n° ou bulletin]Comparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery / D.A. Clausi in IEEE Transactions on geoscience and remote sensing, vol 42 n° 1 (January 2004)
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Titre : Comparing cooccurrence probabilities and Markov random fields for texture analysis of SAR sea ice imagery Type de document : Article/Communication Auteurs : D.A. Clausi, Auteur ; B. Yue, Auteur Année de publication : 2004 Article en page(s) : pp 215 - 228 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse texturale
[Termes IGN] champ aléatoire de Markov
[Termes IGN] glace
[Termes IGN] image Radarsat
[Termes IGN] niveau de gris (image)
[Termes IGN] segmentation d'image
[Termes IGN] télédétection spatiale
[Termes IGN] texture d'imageRésumé : (Auteur) This paper compares the discrimination ability of two texture analysis methods: Markov random fields (MRFs) and gray-level cooccurrence probabilities (GLCPs). There exists limited published research comparing different texture methods, especially with regard to segmenting remotely sensed imagery. The role of window size in texture feature consistency and separability as well as the role in handling of multiple textures within a window are investigated. Necessary testing is performed on samples of synthetic (MRF generated), Brodatz, and synthetic aperture radar (SAR) sea ice imagery. GLCPs are demonstrated to have improved discrimination ability relative to MRFs with decreasing window size, which is important when performing image segmentation. On the other hand, GLCPs are more sensitive in texture boundary confusion than MRFs given their respective segmentation procedures. Numéro de notice : A2004-045 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.817218 En ligne : https://doi.org/10.1109/TGRS.2003.817218 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26573
in IEEE Transactions on geoscience and remote sensing > vol 42 n° 1 (January 2004) . - pp 215 - 228[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-04011 RAB Revue Centre de documentation En réserve L003 Disponible Comparison of aerial images, satellites images and laser scanning DSM in a 3D city models production framework / Grégoire Maillet (2004)
PermalinkA cost-effective semisupervised classifier approach with kernels / M. Murat Dundar in IEEE Transactions on geoscience and remote sensing, vol 42 n° 1 (January 2004)
PermalinkÉtude des modèles numériques de terrain pour améliorer la fiabilité des calculs d'aléas et de vulnérabilité / Frédéric Rousseaux (2004)
PermalinkPermalinkImage Analysis and Recognition, International Conference, ICIAR 2004, Porto, Portugal, September-October 2004, Part 1. Proceedings / Aurélio Campilho (2004)
PermalinkPermalinkPermalinkPermalinkPermalinkMulti-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information / U.C. Benz in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 3-4 (January - June 2004)
PermalinkObject-based classification of remote sensing data for change detection / Volker Walter in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 3-4 (January - June 2004)
PermalinkPermalinkA study of scattering from an object below a rough surface / Joel T. Johnson in IEEE Transactions on geoscience and remote sensing, vol 42 n° 1 (January 2004)
PermalinkPermalinkIntercalibration of vegetation indices from different sensor systems / M.D. Steven in Remote sensing of environment, vol 88 n° 4 (30/12/2003)
PermalinkEvaluation of speckle noise MAP filtering algorithms applied to SAR images / F.N.S. Medeiros in International Journal of Remote Sensing IJRS, vol 24 n° 24 (December 2003)
PermalinkGlobal structure of marine wind speed variability derived from Topex altimeter data / G. Chen in International Journal of Remote Sensing IJRS, vol 24 n° 24 (December 2003)
PermalinkGeographical weighting as a further refinement to regression modelling: an example focused on the NDVI-rainfall relationship / Giles M. Foody in Remote sensing of environment, vol 88 n° 3 (15/12/2003)
PermalinkSnow-cover mapping in forest by constrained linear spectral unimixing of MODIS data / D. Vikhamar in Remote sensing of environment, vol 88 n° 3 (15/12/2003)
PermalinkClassification of wheat crop with multi-temporal images: performance of maximum likelihood and artificial neural networks / C.S. Murthy in International Journal of Remote Sensing IJRS, vol 24 n° 23 (December 2003)
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