Centre de documentation
scientifique

Dépouillements

Characterization of Arctic sea ice thickness using high-resolution spaceborne polarimetric SAR data / J.W. Kim in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 13 - 22 Titre : Characterization of Arctic sea ice thickness using high-resolution spaceborne polarimetric SAR data Type de document : Article/Communication Auteurs : J.W. Kim, Auteur ; D.J. Kim, Auteur ; B.J. Hwang, Auteur Année de publication : 2012 Article en page(s) : pp 13 - 22 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Arctique, océan [Termes IGN] bande C [Termes IGN] bande X [Termes IGN] données polarimétriques [Termes IGN] épaisseur de la glace [Termes IGN] glace de mer [Termes IGN] image Radarsat [Termes IGN] image TerraSAR-X [Termes IGN] polarimétrie radar [Termes IGN] polarisation [Termes IGN] polarisation croisée [Termes IGN] télédétection en hyperfréquence Résumé : (Auteur) In this paper, we have investigated the relationship between the depolarization effects and the wintertime sea ice thickness in the landfast ice region where smooth thick first-year ice (FYI) and deformed old ice coexisted by using C- and X-band spaceborne polarimetric synthetic aperture radar (SAR) data (RADARSAT-2 and TerraSAR-X). We have found a strong correlation between the in situ sea ice thickness and the SAR-derived depolarization factors (copolarized correlation and cross-polarized ratio). The observed relationships have demonstrated not only a categorical difference between FYI and multiyear ice (MYI) but also a one-to-one continuity in the scatter plots, rather than being clustered. It clearly shows that the observed correlations are not merely from the categorical difference in scattering mechanism between FYI and MYI and that there might exist a one-to-one relationship between thickness and depolarization factors at least in our deformed ice case. This suggests that depolarization factors could be effective SAR parameters in the estimation of wintertime sea ice thickness. Numerical model simulations explained some portions of the correlation by employing multiple scattering on the sea ice surface and volume scattering within the low-density subsurface layer. Numéro de notice : A2012-030 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2160070 Date de publication en ligne : 29/07/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2160070 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31478 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2012011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Joint processing of Landsat and ALOS-PALSAR data for forest mapping and monitoring / E. Lehmann in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 55 - 67 Titre : Joint processing of Landsat and ALOS-PALSAR data for forest mapping and monitoring Type de document : Article/Communication Auteurs : E. Lehmann, Auteur ; P. Caccetta, Auteur ; Z.S. Zhou, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 55 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse discriminante [Termes IGN] carte de la végétation [Termes IGN] forêt équatoriale [Termes IGN] fusion d'images [Termes IGN] image ALOS-PALSAR [Termes IGN] image Landsat-TM [Termes IGN] image optique [Termes IGN] image radar [Termes IGN] surveillance forestière [Termes IGN] Tasmanie Résumé : (Auteur) Recent technological advances in the field of radar remote sensing have allowed the deployment of an increasing number of new satellite sensors. These provide an important source of Earth observation data, which add to the currently existing optical data sets. In parallel, the development of robust methods for global forest monitoring and mapping is becoming increasingly important. As a consequence, there is significant interest in the development of global monitoring systems that are able to take advantage of the potential synergies and complementary nature of optical and radar data. This paper proposes an approach for the combined processing of Landsat and ALOS-PALSAR data for the purpose of forest mapping and monitoring. This is achieved by incorporating the PALSAR data into an existing operational Landsat-based processing system. Using a directed discriminant technique, a probability map of forest presence/absence is first generated from the PALSAR imagery. This SAR classification data is then combined with a time series of similar Landsat-based maps within a Bayesian multitemporal processing framework, leading to the production of a time series of joint radar-optical maps of forest extents. This approach is applied and evaluated over a pilot study area in northeastern Tasmania, Australia. Experimental outcomes of the proposed joint processing framework are provided, demonstrating its potential for the integration of different types of remote sensing data for forest monitoring purposes. Numéro de notice : A2012-031 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2171495 Date de publication en ligne : 14/11/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2171495 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31479 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2012011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A genetic fuzzy-rule-based classifier for land cover classification from hyperspectral imagery / Dimitris G. Stavrakoudis in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 130 - 148 Titre : A genetic fuzzy-rule-based classifier for land cover classification from hyperspectral imagery Type de document : Article/Communication Auteurs : Dimitris G. Stavrakoudis, Auteur ; G. Galidaki, Auteur ; Ioannis Z. Gitas, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 130 - 148 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification par algorithme génétique [Termes IGN] image EO1-Hyperion [Termes IGN] image hyperspectrale [Termes IGN] occupation du sol Résumé : (Auteur) This paper proposes the use of a genetic fuzzy-rule-based classification system for land cover classification from hyperspectral images. The proposed classifier, namely, Feature Selective Linguistic Classifier, is constructed through a three-stage learning process. The first stage produces a preliminary fuzzy rule base in an iterative fashion. During this stage, a local feature selection scheme is employed, designed to guide the genetic evolution, through the evaluation of deterministic information about the relevance of each feature with respect to its classification ability. The structure of the model is then simplified in a subsequent postprocessing stage. The performance of the classifier is finally optimized through a genetic tuning stage. An extensive comparative analysis, using an Earth Observing-1 Hyperion satellite image, highlights the quality advantages of the proposed system, when compared with nonfuzzy classifiers, commonly employed in hyperspectral classification tasks. Numéro de notice : A2012-032 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2159613 Date de publication en ligne : 29/07/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2159613 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31480 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2012011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Laplacian eigenmaps-based polarimetric dimensionality reduction for SAR image classification / S.T. Tu in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 170 - 179 Titre : Laplacian eigenmaps-based polarimetric dimensionality reduction for SAR image classification Type de document : Article/Communication Auteurs : S.T. Tu, Auteur ; J.H. Chen, Auteur ; W. Yang, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 170 - 179 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] image radar moirée [Termes IGN] occupation du sol [Termes IGN] polarimétrie radar Résumé : (Auteur) In this paper, we propose a novel scheme of polarimetric synthetic aperture radar (PolSAR) image classification. We apply Laplacian eigenmaps (LE), a nonlinear dimensionality reduction (NDR) technique, to a high-dimensional polarimetric feature representation for PolSAR land-cover classification. A wide variety of polarimetric signatures are chosen to construct a high-dimensional polarimetric manifold which can be mapped into the most compact low-dimensional structure by manifold-based dimensionality reduction techniques. This NDR technique is employed to obtain a low-dimensional intrinsic feature vector by the LE algorithm, which is beneficial to PolSAR land-cover classification owing to its local preserving property. The effectiveness of our PolSAR land-cover classification scheme with LE intrinsic feature vector is demonstrated with the RadarSat-2 C-band PolSAR data set and the 38th Research Institute of China Electronics Technology Group Corporation X-band PolInSAR data set. The performance of our method is measured by the separability in the feature space and the accuracy of classification. Comparisons on the feature space show that the LE intrinsic feature vector is more separable than different original feature vectors. Our LE intrinsic feature vector also improves the classification accuracy. Numéro de notice : A2012-033 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2168532 Date de publication en ligne : 26/10/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2168532 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31481 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2012011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Ultrawideband gated step frequency Ground-Penetrating Radar / M. Oyan in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 212 - 220 Titre : Ultrawideband gated step frequency Ground-Penetrating Radar Type de document : Article/Communication Auteurs : M. Oyan, Auteur ; S.E. Hamran, Auteur ; L. Hanssen, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 212 - 220 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] bande spectrale [Termes IGN] capteur spatial [Termes IGN] modulation de fréquence [Termes IGN] prototype [Termes IGN] radar pénétrant GPR [Termes IGN] Svalbard Résumé : (Auteur) We describe a prototype ultrawideband radar. We show how the system was designed and how the hardware was developed for the radar prototype. Waveform generation, radar parameters, and signal processing for the stepped frequency waveform are discussed. The radar operates from 500 MHz to 3 GHz with a nominal resolution of 6 cm in air. The advantage of the stepped frequency approach over an impulse radar is better matching between the transmitted waveform and the receiver. We use range gating to improve the system dynamic range. The advantages are illustrated with laboratory measurements and field measurements from glacial ice and permafrost in Svalbard, showing penetration depths of 11 m. Antennas which do not require contact with the ground were developed and used in the experiments. Numéro de notice : A2012-034 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2168532 Date de publication en ligne : 22/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2168532 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31482 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2012011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Long-term consecutive DInSAR for volume change estimation of land deformation / S. Sumantyo in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 259 - 270 Titre : Long-term consecutive DInSAR for volume change estimation of land deformation Type de document : Article/Communication Auteurs : S. Sumantyo, Auteur ; M. Shimada, Auteur ; P. Mathieu, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 259 - 270 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] analyse diachronique [Termes IGN] déformation de la croute terrestre [Termes IGN] image ALOS-PALSAR [Termes IGN] image JERS [Termes IGN] Indonésie [Termes IGN] interferométrie différentielle [Termes IGN] subsidence [Termes IGN] volume (grandeur) Résumé : (Auteur) In this paper, the long-term consecutive differential interferometric synthetic aperture radar (SAR) technique is used to measure the volume change during land deformation. This technique was used to investigate the subsidence of Bandung city, Indonesia, by assessing the data from two Japanese L-band spaceborne SARs (Japanese Earth Resources Satellite 1 SAR and Advanced Land Observation Satellite Phased Array type L-band Synthetic Aperture Radar) during the periods of 1993-1997 and 2007-2010. The results are confirmed using GPS observation data, ground survey data, local statistics, ground water level trend data, and the geological formation of the study area. The obtained results reveal a close correlation between the subsidence measurements and changes in the ground water level due to water pumping, population growth, industry growth, and urbanization of the study area. Numéro de notice : A2012-035 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2160455 Date de publication en ligne : 04/08/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2160455 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31483 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2012011	RAB	Revue	Centre de documentation	En réserve L003	Disponible

The unmixing of atmospheric trace gases from hyperspectral satellite data / P. Addabbo in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 320 - 329 Titre : The unmixing of atmospheric trace gases from hyperspectral satellite data Type de document : Article/Communication Auteurs : P. Addabbo, Auteur ; M. Di Bisceglie, Auteur ; C. Galdi, Auteur Année de publication : 2012 Article en page(s) : pp 320 - 329 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse des mélanges spectraux [Termes IGN] gaz [Termes IGN] image hyperspectrale [Termes IGN] ozone [Termes IGN] Ozone Monitoring Instrument Résumé : (Auteur) A new approach for the retrieval of the vertical column concentrations of trace gases, from hyperspectral satellite reflectances, is presented. The investigation moves from the general rationale of independent component analysis, but the constraint of perfect independence among sources is replaced by a minimum dependence concept that proves more reasonable for the application at hand. The unmixing of the gas spectra and their concentrations is achieved from linear mixtures obtained from the logarithm of the spectral reflectance. After a proper preprocessing stage aimed at reducing major residual dependences caused by atmospheric scattering, trace-gas retrieval is carried out through a minimization of a statistical cost function, subject to the physical constraint that the resulting spectra must be nonnegative. The experimental analysis relies on the retrieval of sulfur dioxide during volcanic emissions using data from the National Aeronautics and Space Administration Ozone Monitoring Instrument. To validate the procedure, reference reflectance spectra having a known profile of sulfur dioxide are generated with the MODerate resolution atmospheric TRANsmission software, and the retrieved concentration is compared with the theoretical one. Performance in the presence of shot and detector noise has also been analyzed starting from pure simulated spectral reflectances. Numéro de notice : A2012-036 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2171692 Date de publication en ligne : 07/11/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2171692 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31484 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2012011	RAB	Revue	Centre de documentation	En réserve L003	Disponible