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Prediction, detection and correction of Faraday: rotation in full-polarimetric L-Band SAR data / F.J. Meyer in IEEE Transactions on geoscience and remote sensing, vol 46 n° 10 Tome 2 (October 2008)
[article]
Titre : Prediction, detection and correction of Faraday: rotation in full-polarimetric L-Band SAR data Type de document : Article/Communication Auteurs : F.J. Meyer, Auteur ; J.B. Nicoll, Auteur Année de publication : 2008 Conférence : IGARSS 2007, International Geoscience And Remote Sensing Symposium, sensing and understanding our planet 23/07/2007 27/07/2007 Barcelone Espagne Proceedings IEEE Article en page(s) : pp 3076 - 3086 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] correction ionosphérique
[Termes IGN] données polarimétriques
[Termes IGN] image ALOS-PALSAR
[Termes IGN] propagation ionosphériqueRésumé : (Auteur) With the synthetic aperture radar (SAR) sensor PALSAR onboard the Advanced Land Observing Satellite, a new full-polarimetric spaceborne L-band SAR instrument has been launched into orbit. At L-band, Faraday rotation (FR) can reach significant values, degrading the quality of the received SAR data. One-way rotations exceeding 25° are likely to happen during the lifetime of PALSAR, which will significantly reduce the accuracy of geophysical parameter recovery if uncorrected. Therefore, the estimation and correction of FR effects is a prerequisite for data quality and continuity. In this paper, methods for estimating FR are presented and analyzed. The first unambiguous detection of FR in SAR data is presented. A set of real data examples indicates the quality and sensitivity of FR estimation from PALSAR data, allowing the measurement of FR with high precision in areas where such measurements were previously inaccessible. In examples, we present the detection of kilometer-scale ionospheric disturbances, a spatial scale that is not detectable by ground-based GPS measurements. An FR prediction method is presented and validated. Approaches to correct for the estimated FR effects are applied, and their effectiveness is tested on real data. Copyright IEEE Numéro de notice : A2008-527 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.2003002 En ligne : https://doi.org/10.1109/TGRS.2008.2003002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29597
in IEEE Transactions on geoscience and remote sensing > vol 46 n° 10 Tome 2 (October 2008) . - pp 3076 - 3086[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-08101B RAB Revue Centre de documentation En réserve L003 Disponible A scheme for ship detection in inhomogeneous regions based on segmentation of SAR images / F. Zhang in International Journal of Remote Sensing IJRS, vol 29 n°19-20 (October 2008)
[article]
Titre : A scheme for ship detection in inhomogeneous regions based on segmentation of SAR images Type de document : Article/Communication Auteurs : F. Zhang, Auteur ; B. Wu, Auteur Année de publication : 2008 Article en page(s) : pp 5733 - 5747 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] détection d'objet
[Termes IGN] estuaire
[Termes IGN] Fleuve bleu (Chine)
[Termes IGN] image Envisat-ASAR
[Termes IGN] image radar
[Termes IGN] navire
[Termes IGN] objet mobile
[Termes IGN] segmentation d'imageRésumé : (Auteur) Ship detection in inhomogeneous regions using synthetic aperture radar (SAR) imagery is usually confronted with the severe heterogeneities of the oceans; this paper proposes a new detection scheme to overcome this problem. At first, an object-oriented segmentation algorithm is employed to partition the whole SAR image into several uniform regions. Then, for each partitioned region within water areas, the Kolmogorov-Smirnov test is applied to select the optimal background distribution model, and ship detection is carried out using the adaptive constant false alarm rate (CFAR) detector based on the selected probability density function. Finally, the detection results of each region are merged. An experiment based on an ENVISAT ASAR image of the Yangtze estuary show that the proposed strategy can effectively deal with heterogeneous scenarios in inhomogenous regions and greatly improves the detection results. Copyright Taylor & Francis Numéro de notice : A2008-531 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160802089887 En ligne : https://doi.org/10.1080/01431160802089887 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29601
in International Journal of Remote Sensing IJRS > vol 29 n°19-20 (October 2008) . - pp 5733 - 5747[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-08121 RAB Revue Centre de documentation En réserve L003 Disponible Subpixel urban land cover estimation: comparing cubist, random forests, and support vector regression / J. Walton in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 10 (October 2008)
[article]
Titre : Subpixel urban land cover estimation: comparing cubist, random forests, and support vector regression Type de document : Article/Communication Auteurs : J. Walton, Auteur Année de publication : 2008 Article en page(s) : pp 1213 - 1222 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] image Landsat-ETM+
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] régression
[Termes IGN] séparateur à vaste marge
[Termes IGN] surface imperméableRésumé : (Auteur) Three machine learning subpixel estimation methods (Cubist, Random Forests, and support vector regression) were applied to estimate urban cover. Urban forest canopy cover and impervious surface cover were estimated from Landsat-7 ETM+ imagery using a higher resolution cover map resampled to 30 m as training and reference data. Three different band combinations (reflectance, tasseled cap, and both reflectance and tasseled cap plus thermal) were compared for their effectiveness with each of the methods. Thirty different training site number and size combinations were also tested. Support vector regression on the tasseled cap bands was found to be the best estimator for urban forest canopy cover, while Cubist performed best using the reflectance plus tasseled cap band combination when predicting impervious surface cover. More training data partitioned in many small training sites generally produces better estimation results. Copyright ASPRS Numéro de notice : A2008-374 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.74.10.1213 En ligne : https://doi.org/10.14358/PERS.74.10.1213 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29367
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 10 (October 2008) . - pp 1213 - 1222[article]The compact polarimetry alternative for spaceborne SAR at low frequency / P. Dubois-Fernandez in IEEE Transactions on geoscience and remote sensing, vol 46 n° 10 Tome 2 (October 2008)
[article]
Titre : The compact polarimetry alternative for spaceborne SAR at low frequency Type de document : Article/Communication Auteurs : P. Dubois-Fernandez, Auteur ; J.C. Souyris, Auteur ; S. Angelliaume, Auteur ; et al., Auteur Année de publication : 2008 Conférence : IGARSS 2007, International Geoscience And Remote Sensing Symposium, sensing and understanding our planet 23/07/2007 27/07/2007 Barcelone Espagne Proceedings IEEE Article en page(s) : pp 3208 - 3222 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] données polarimétriques
[Termes IGN] forêt tempérée
[Termes IGN] image ALOS-PALSAR
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] Landes (40)
[Termes IGN] Pinus pinaster
[Termes IGN] polarimétrie radarRésumé : (Auteur) In spaceborne synthetic aperture radar (SAR), a single-polarization on-transmit offers twice the swath width compared to full polarization. This is linked to SAR system design issues, and, without getting into the technical details deserving by themselves a full paper, we can just mention the swath characteristics of ALOS PALSAR (the Advanced Land Observing Satellite, Phased Array L-Band Synthetic Aperture Radar), reducing from 70 km for the dual-pol mode to 30 km for the full polarization mode. The reduced coverage in the full polarization mode has a harmful impact on the revisit time, which is always a major drive for the Earth-observing community. The options chosen up to now for dual-pol system designs (or single-polarization on-transmit) rely on a linear polarization on-transmit [either horizontal (H) or vertical (V)], with two orthogonal polarizations on-receive. Souyris and Raney in earlier papers proposed more pertinent alternatives for the selection of the transmit polarization leading to a better characterization of the scattering mechanisms. In this paper, the analysis is pursued in more depth by including the effect of the ionosphere on the wave propagation and extending the applications to polarimetric interferometry SAR (PolInSAR). A compact mode is developed where the transmit polarization is circular, whereas the only constraint on the two receiving polarizations is independence. Indeed, the choice of the polarizations of the two receive channels does not matter, as any polarization on-receive can be synthesized from these two measurements. This is, however, not the case for the unique transmit polarization. At a low frequency, where the ionosphere has a significant effect, the circular transmit polarization is the only sensible option, as it provides an effective constant polarization as seen by the scattering surface. This is an essential condition for a meaningful multitemporal analysis. Both the polarimetric SAR applications and the PolInSAR applications in the context of this compact polarimetry (CP) mode are explored. A pseudocovariance matrix can be reconstructed following Souyris' proposed approach for distributed targets and is shown to be very similar to the full polarimetric (FP) covariance matrix. The reconstruction of the cross-polarized Sigma0 is shown to be reliable and to have very low sensitivity to Faraday rotation. A PolInSAR vegetation height inversion for P-band is presented and applied to the CP data with a level of performance that is similar to the one derived from FP (a 1.2-m root-mean-square height error on the ONERA Airborne radar (RAMSES) data over the Landes Forest). A procedure is developed to correct for the ionospheric effects for the PolInSAR acquisition in the FP or CP mode and is assessed on the data simulated from an airborne acquisition. The results demonstrate that the technique is efficient and robust. The calibration of CP data is identified as an important challenge to be solved, and some clues are provided to address the problem. Numéro de notice : A2008-529 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2008.919143 En ligne : https://doi.org/10.1109/TGRS.2008.919143 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29599
in IEEE Transactions on geoscience and remote sensing > vol 46 n° 10 Tome 2 (October 2008) . - pp 3208 - 3222[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-08101B RAB Revue Centre de documentation En réserve L003 Disponible The Sichuan earthquake (1): satellite imagery for rapid response / Timo Balz in GIM international, vol 22 n° 10 (October 2008)
[article]
Titre : The Sichuan earthquake (1): satellite imagery for rapid response Type de document : Article/Communication Auteurs : Timo Balz, Auteur ; B. Scheuchl, Auteur ; D. Li, Auteur Année de publication : 2008 Article en page(s) : pp 13 - 15 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] cartographie d'urgence
[Termes IGN] dommage matériel
[Termes IGN] effondrement de terrain
[Termes IGN] image Formosat/COSMIC
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] image SPOT
[Termes IGN] image TerraSAR-X
[Termes IGN] risque naturel
[Termes IGN] séisme
[Termes IGN] Setchouan (Chine)
[Termes IGN] surveillance géologiqueRésumé : (Auteur) When in May 2008 an earthquake and associated landslides struck the Chinese province of Sichuan, geo-information service providers were able to support emergency response efforts by providing and analysing radar and optical satellite imagery, and continuous follow-on monitoring. The authors provide an overview of the disaster and its effects, demonstrating the suitability of satellite images for emergency rapid response. Copyright Reed Business Information Numéro de notice : A2008-382 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29375
in GIM international > vol 22 n° 10 (October 2008) . - pp 13 - 15[article]Voir aussiExemplaires(1)
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