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Mapping damage in the Jammu and Kashmir caused by 8 October 2005 mw 7.3 earthquakes from the Cartosat-1 and Resourcesat-1 imagery / K. Vinod Kumar in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)
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Titre : Mapping damage in the Jammu and Kashmir caused by 8 October 2005 mw 7.3 earthquakes from the Cartosat-1 and Resourcesat-1 imagery Type de document : Article/Communication Auteurs : K. Vinod Kumar, Auteur ; T.R. Martha, Auteur ; P.S. Roy, Auteur Année de publication : 2006 Article en page(s) : pp 4449 - 4459 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] cartographie des risques
[Termes IGN] dommage matériel
[Termes IGN] effondrement de terrain
[Termes IGN] faille géologique
[Termes IGN] Himalaya
[Termes IGN] image Cartosat-1
[Termes IGN] image IRS-LISS
[Termes IGN] image IRS-P6
[Termes IGN] image panchromatique
[Termes IGN] Inde
[Termes IGN] modèle stéréoscopique
[Termes IGN] séismeRésumé : (Auteur) A massive earthquake of Mw = 7.3 struck the western Himalaya on 8 October 2005 at 03:50:40 (UTC) causing widespread damage to property and lives. This earthquake is the result of thrusting of the Indian plate under the Eurasian plate. It is one of the deadliest earthquakes in South Asia in recent times. The recently launched Indian remote sensing satellite Cartosat–1, providing 2.5 m panchromatic along-track stereoscopic data have been analysed for damage assessment along with Resourcesat–1 multispectral data for understanding the regional tectonics. In this study, nearly 25% of the buildings are identified as fully collapsed in Uri and Punch region of the Jammu and Kashmir, India. Other damage such as bridge collapse, road blockage owing to landslides etc. is also identified from the satellite data. The coseismic landslides show clear spatial association with the pre-existing faults such as the Jhelum Fault and Main Boundary Thrust (MBT). A new trend in the alignment of landslides is found, which indicates reactivation of a new fault in this region. The effectiveness of the fine resolution stereoscopic satellite data for damage assessment in rugged mountainous terrain is also highlighted in this study. Copyright Taylor & Francis Numéro de notice : A2006-467 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600702376 En ligne : https://doi.org/10.1080/01431160600702376 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28191
in International Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 4449 - 4459[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06101 RAB Revue Centre de documentation En réserve L003 Disponible On comparing multifractal and classical features in minimum distance classification of AVHRR imagery / T. Parrinello in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)
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Titre : On comparing multifractal and classical features in minimum distance classification of AVHRR imagery Type de document : Article/Communication Auteurs : T. Parrinello, Auteur ; R.A. Vaughan, Auteur Année de publication : 2006 Article en page(s) : pp 3943 - 3959 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification barycentrique
[Termes IGN] classification dirigée
[Termes IGN] Ecosse
[Termes IGN] géométrie fractale
[Termes IGN] image NOAA-AVHRR
[Termes IGN] texture d'imageRésumé : (Auteur) The ability to distinguish between different types of surfaces is the strength of texture descriptors in the analysis of satellite imagery. Although the most common analytical means are based on co-occurrence analysis, considerable progress has been made in understanding the role of fractal and multifractal analysis in remote sensing. After indicating the limitations of using fractal dimensions as the only texture descriptor and introducing the concept of multifractal geometry, we consider the effectiveness of using multifractal and second-order fractal features in image classification. In particular, we present the results of comparing two supervised classifications of an Advanced Very High Resolution Radiometer (AVHRR) image of Scotland using classical texture features and multifractal second-order fractal ones. In terms of percentage correct and Khat statistics, this study provides evidence, with a confidence limit of 95%, that classifications using multifractal and second-order fractal features are more accurate than those using classical features. The classification algorithm used for this study is a typical minimum distance classifier. Copyright Taylor & Francis Numéro de notice : A2006-458 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600685241 En ligne : https://doi.org/10.1080/01431160600685241 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28182
in International Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 3943 - 3959[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06101 RAB Revue Centre de documentation En réserve L003 Disponible Remote sensing observations of pre-earthquake thermal anomalies in Iran / S. Choudhury in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)
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Titre : Remote sensing observations of pre-earthquake thermal anomalies in Iran Type de document : Article/Communication Auteurs : S. Choudhury, Auteur ; Susmita Dasgupta, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 4381 - 4396 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] anomalie thermique
[Termes IGN] détection de changement
[Termes IGN] image NOAA-AVHRR
[Termes IGN] Iran
[Termes IGN] prévention des risques
[Termes IGN] risque naturel
[Termes IGN] séisme
[Termes IGN] température au solRésumé : (Auteur) Stresses acting before an earthquake in tectonically active regions can augment the near ground temperature of the region. Such changes detected through thermal remote sensing can provide important clues about future earthquakes. A post-earthquake analysis through NOAA-AVHRR data showed pre-earthquake thermal anomalies prior to the Bam earthquake on 26 December 2003 and the Dahoeieh-Zarand earthquake on 21 February 2005 in Iran. It was observed in these earthquakes that there was short-term temporal increase in land surface temperature (LST) of the regions around the epicenters. The rise in temperature was about 5–10°C. Further, temperature variation curves prepared from air temperature data collected from several meteorological stations around epicentres confirmed the appearance of thermal anomalies prior to several earthquakes between February and March 2005 in Iran. The thermal anomalies went away along with the earthquake events. Release of greenhouse gases from rocks due to the induced pressure before earthquakes can create a localized greenhouse effect. Charge carriers in rocks can be free electrons, which dissociate under high pressure. When they again recombine to attain electron stability they release heat, which can increase the LST of the region. Copyright Taylor & Francis Numéro de notice : A2006-466 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600851827 En ligne : https://doi.org/10.1080/01431160600851827 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28190
in International Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 4381 - 4396[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06101 RAB Revue Centre de documentation En réserve L003 Disponible Satellite image classification using granular neural networks / D. Stathakis in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)
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Titre : Satellite image classification using granular neural networks Type de document : Article/Communication Auteurs : D. Stathakis, Auteur ; A. Vasilakos, Auteur Année de publication : 2006 Article en page(s) : pp 3991 - 4003 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] classification floue
[Termes IGN] classification par réseau neuronal
[Termes IGN] granularité d'image
[Termes IGN] image IRS-LISSRésumé : (Auteur) The increased synergy between neural networks (NN) and fuzzy sets has led to the introduction of granular neural networks (GNNs) that operate on granules of information, rather than information itself. The fact that processing is done on a conceptual rather than on a numerical level, combined with the representation of granules using linguistic terms, results in increased interpretability. This is the actual benefit, and not increased accuracy, gained by GNNs. The constraints used to implement the GNN are such that accuracy degradation should not be surprising. Having said that, it is well known that simple structured NNs tend to be less prone to over-fitting the training data set, maintaining the ability to generalize and more accurately classify previously unseen data. Standard NNs are frequently found to be accurate but difficult to explain, hence they are often associated with the black box syndrome. Because in GNNs the operation is carried out at a conceptual level, the components have unambiguous meaning, revealing how classification decisions are formed. In this paper, the interpretability of GNNs is exploited using a satellite image classification problem. We examine how land use classification using both spectral and non-spectral information is expressed in GNN terms. One further contribution of this paper is the use of specific symbolization of the network components to easily establish causality relationships. Copyright Taylor & Francis Numéro de notice : A2006-460 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600567779 En ligne : https://doi.org/10.1080/01431160600567779 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28184
in International Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 3991 - 4003[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06101 RAB Revue Centre de documentation En réserve L003 Disponible Suspended sediment concentrations in the Yangtze River estuary retrieved from the CMODIS data / Z. Han in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)
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Titre : Suspended sediment concentrations in the Yangtze River estuary retrieved from the CMODIS data Type de document : Article/Communication Auteurs : Z. Han, Auteur ; Ya-Qiu Jin, Auteur ; C.X. Yun, Auteur Année de publication : 2006 Article en page(s) : pp 4329 - 4336 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] estuaire
[Termes IGN] Fleuve bleu (Chine)
[Termes IGN] image CMODIS
[Termes IGN] image spatiale
[Termes IGN] sédiment
[Termes IGN] Shanghai (Chine)
[Termes IGN] turbidité des eauxRésumé : (Auteur) The Chinese Moderate Resolution Imaging Spectroradiometer (CMODIS) was loaded on the China's SZ-3 spacecraft. Using an empirical line method, the CMODIS radiance is converted to the water-leaving reflectance, and is applied to inversion of the suspended sediment concentrations in the Yangtze River estuary. The concentrations ranging between 0 mg/L and 1000 mg/L are well validated by the field measurement data. This study demonstrates an example for the feasibility of the CMODIS data for concentration retrieval of the suspended sediment. Copyright Taylor & Francis Numéro de notice : A2006-464 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600658164 En ligne : https://doi.org/10.1080/01431160600658164 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28188
in International Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 4329 - 4336[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-06101 RAB Revue Centre de documentation En réserve L003 Disponible La transformation en ondelettes pour l'extraction de la texture-couleur : application à la classification combinée des images (HRV) de SPOT / A. Safia in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)
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