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Termes IGN > imagerie > image radar > image radar moirée
image radar moiréeSynonyme(s)Interferogramme ;image SAR ;Image rso ;Image radar interférométrique Image par radar à antenne synthétiqueVoir aussi
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Monitoring ground subsidence in Shanghai maglev area using two kinds of SAR data / J. Wu in Journal of applied geodesy, vol 6 n° 3-4 (November 2012)
[article]
Titre : Monitoring ground subsidence in Shanghai maglev area using two kinds of SAR data Type de document : Article/Communication Auteurs : J. Wu, Auteur ; L. Zhang, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 209 - 213 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] effondrement de terrain
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image Envisat-ASAR
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] réseau métropolitain
[Termes IGN] Shanghai (Chine)
[Termes IGN] subsidence
[Termes IGN] surveillance d'ouvrageRésumé : (Auteur) Shanghai maglev is a very fast traffic tool, so it is very strict with the stability of the roadbed. However, the ground subsidence is a problem in Shanghai because of the poor geological condition and human-induced factors. So it is necessary to monitor ground subsidence in the area along the Shanghai maglev precisely and frequently. Traditionally, a precise levelling method is used to survey along the track. It is expensive and time consuming, and can only get the ground subsidence information on sparse benchmarks. Recently, the small baseline differential SAR technique plays a valuable part in monitoring ground subsidence, which can extract ground subsidence information with high spatial resolution in a wide area. In this paper, L-band ALOS PALSAR data and C-band Envisat ASAR data are used to extract ground subsidence information using the SBAS method in the Shanghai maglev area. The results show that the general pattern of ground subsidence from InSAR processing of two differential bands of SAR images is similar. Both results show that there is no significant ground subsidence on the maglev line. Near the railway line, there are a few places with subsidence rates at about -20 mm/y or even more, such as Chuansha town, the junction of the maglev and Waihuan road. Numéro de notice : A2012-599 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1515/jag-2012-0024 En ligne : http://www.degruyter.com/view/j/jag.2012.6.issue-3-4/jag-2012-0024/jag-2012-0024 [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32045
in Journal of applied geodesy > vol 6 n° 3-4 (November 2012) . - pp 209 - 213[article]Bistatic ISAR imaging incorporating interferometric 3-D imaging technique / C. Ma in IEEE Transactions on geoscience and remote sensing, vol 50 n° 10 Tome 1 (October 2012)
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Titre : Bistatic ISAR imaging incorporating interferometric 3-D imaging technique Type de document : Article/Communication Auteurs : C. Ma, Auteur ; T. Yeo, Auteur ; Q. Guo, Auteur ; P. Wei, Auteur Année de publication : 2012 Article en page(s) : pp 3859 - 3867 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] correction d'image
[Termes IGN] image 3D
[Termes IGN] image ISAR
[Termes IGN] image radar
[Termes IGN] image radar moirée
[Termes IGN] radar à antenne synthétiqueRésumé : (Auteur) Bistatic inverse synthetic aperture radar (BiISAR) imaging provides complementary information to monostatic ISAR imaging. A suggestion that the conventional bistatic ISAR can be replaced by an equivalent monostatic radar is shown to be inadequate in this paper. We prove that the BiISAR image is a sheared version of the projection of the target on the range-Doppler plane. A bistatic interferometric radar configuration is proposed to correct this distortion and to form 3-D image. Simulation results have validated our analysis and shown the viability of the proposed 3-D imaging algorithm. Numéro de notice : A2012-526 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2186304 Date de publication en ligne : 12/03/2012 En ligne : https://doi.org/10.1109/TGRS.2012.2186304 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31972
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 10 Tome 1 (October 2012) . - pp 3859 - 3867[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012101A RAB Revue Centre de documentation En réserve L003 Disponible Quantifying deforestation in the Brazilian Amazon using advanced land observing satellite phased array L-band synthetic aperture radar (ALOS PALSAR) and shuttle imaging radar (SIR)-C data / M. Rahman in Geocarto international, vol 27 n° 6 (October 2012)
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Titre : Quantifying deforestation in the Brazilian Amazon using advanced land observing satellite phased array L-band synthetic aperture radar (ALOS PALSAR) and shuttle imaging radar (SIR)-C data Type de document : Article/Communication Auteurs : M. Rahman, Auteur ; J. Tetuko Sri Sumantyo, Auteur Année de publication : 2012 Article en page(s) : pp 463 - 478 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Amazonie
[Termes IGN] bande L
[Termes IGN] Brésil
[Termes IGN] carte de la végétation
[Termes IGN] couvert forestier
[Termes IGN] déboisement
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image radar
[Termes IGN] image radar moirée
[Termes IGN] image SIR-C
[Termes IGN] matrice
[Termes IGN] zone intertropicaleRésumé : (Auteur) The study examined the capability of dual-polarization SAR data for forest cover mapping and change assessment in the Brazilian Amazon Forest regions. Shuttle Imaging Radar (SIR)-C and Advanced Land Observing Satellite Phased Array L-band Synthetic Aperture Radar (ALOS PALSAR) data were analysed to map and quantify deforestation. The images were classified using hybrid classifier, where each land cover was grouped in various spectral sub-classes interpreted on the imagery and later merged together to generate the desired land cover classes. The classification accuracy for forest was reasonably high (>90%). The technique applied in this study can be extended for operational mapping and monitoring of deforestation in the tropics, particularly for those regions which are often covered by cloud. Numéro de notice : A2012-509 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.638987 Date de publication en ligne : 13/01/2012 En ligne : https://doi.org/10.1080/10106049.2011.638987 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31955
in Geocarto international > vol 27 n° 6 (October 2012) . - pp 463 - 478[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012061 RAB Revue Centre de documentation En réserve L003 Disponible An advanced algorithm for deformation estimation in non-urban areas / K. Goel in ISPRS Journal of photogrammetry and remote sensing, vol 73 (September 2012)
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Titre : An advanced algorithm for deformation estimation in non-urban areas Type de document : Article/Communication Auteurs : K. Goel, Auteur ; Nico Adam, Auteur Année de publication : 2012 Article en page(s) : pp 100 - 110 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] déformation de la croute terrestre
[Termes IGN] filtrage du bruit
[Termes IGN] image radar moirée
[Termes IGN] image TanDEM-X
[Termes IGN] interferométrie différentielle
[Termes IGN] zone ruraleRésumé : (Auteur) This paper presents an advanced differential SAR interferometry stacking algorithm for high resolution deformation monitoring in non-urban areas with a focus on distributed scatterers (DSs). Techniques such as the Small Baseline Subset Algorithm (SBAS) have been proposed for processing DSs. SBAS makes use of small baseline differential interferogram subsets. Singular value decomposition (SVD), i.e. L2 norm minimization is applied to link independent subsets separated by large baselines. However, the interferograms used in SBAS are multilooked using a rectangular window to reduce phase noise caused for instance by temporal decorrelation, resulting in a loss of resolution and the superposition of topography and deformation signals from different objects. Moreover, these have to be individually phase unwrapped and this can be especially difficult in natural terrains. An improved deformation estimation technique is presented here which exploits high resolution SAR data and is suitable for rural areas. The implemented method makes use of small baseline differential interferograms and incorporates an object adaptive spatial phase filtering and residual topography removal for an accurate phase and coherence estimation, while preserving the high resolution provided by modern satellites. This is followed by retrieval of deformation via the SBAS approach, wherein, the phase inversion is performed using an L1 norm minimization which is more robust to the typical phase unwrapping errors encountered in non-urban areas. Meter resolution TerraSAR-X data of an underground gas storage reservoir in Germany is used for demonstrating the effectiveness of this newly developed technique in rural areas. Numéro de notice : A2012-548 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.06.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.06.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31994
in ISPRS Journal of photogrammetry and remote sensing > vol 73 (September 2012) . - pp 100 - 110[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012071 SL Revue Centre de documentation Revues en salle Disponible Grouping of Persistent Scatterers in high-resolution SAR data of urban scenes / A. Schunert in ISPRS Journal of photogrammetry and remote sensing, vol 73 (September 2012)
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Titre : Grouping of Persistent Scatterers in high-resolution SAR data of urban scenes Type de document : Article/Communication Auteurs : A. Schunert, Auteur ; Uwe Soergel, Auteur Année de publication : 2012 Article en page(s) : pp 80 - 79 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] coin réflecteur
[Termes IGN] façade
[Termes IGN] fenêtre (bâtiment)
[Termes IGN] image radar moirée
[Termes IGN] image TerraSAR-X
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] zone urbaineRésumé : (Auteur) Persistent Scatterer Interferometry (PSI) is a technique to simultaneously estimate surface deformation and 3D structure from stacks of SAR images. It was proposed first about one decade ago to monitor preferably urban areas, where in general the highest numbers of PS are found. At that time no high-resolution satellite SAR data were available. Instead, for example, stacks of ERS imagery were used providing ground range resolution of about 25 m. In data of such kind only the strongest PS can be detected, which are usually caused by corner reflectors built by orthogonal building and road planes of considerable size, whereas smaller structures causing weaker ones signal are averaged by clutter or mutually interfere with others in the same resolution cell. Thus, if any, only a few or even just one single PS are found per building. The advent of a new sensor generation of systems like TerraSAR-X and COSMO-Skymed in 2007 led to a significant improvement of spatial resolution of about one order of magnitude. This comes along with a dramatic rise of PS density: In some cases tens to hundreds are detected at large buildings, which offers the possibility to monitor even individual urban objects. In addition, especially at building façades the distribution of those PS is often quite regular. A reason for that is the usually rectilinear arrangement of façade structures inducing PS like windows or balconies. Those patterns contain a lot of information about the objects under investigation, which is mostly ignored in current PSI processing schemes. For example, consider a regular structure of windows on a certain façade of a multi-story building. Assuming the same kind of structure generates one single PS at each window, the phase centers of all scatterers caused by windows of each floor share the same height. This means, we may benefit from such kind of redundancy, for instance, to improve the height estimate by averaging over PS having the same elevation. In this work, we first discuss the regular appearance of PS at urban façades for an urban test scene in TerraSAR-X spotlight mode data. Then, we show how PS analysis could benefit by exploitation of the redundancy due to repetitive patterns of man-made objects. Finally, we propose a PS grouping scheme based on a production system and discuss first results achieved for the test area. Numéro de notice : A2012-546 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.04.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.04.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31992
in ISPRS Journal of photogrammetry and remote sensing > vol 73 (September 2012) . - pp 80 - 79[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012071 SL Revue Centre de documentation Revues en salle Disponible Hangrutschungskartierung mittels Radar Interferometrie / U. Wegmuller in Géomatique suisse, vol 110 n° 9 (01/09/2012)Permalinkvol 73 - September 2012 - Innovative applications of SAR interferometry from modern satellite sensors (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / U. SoergerlPermalinkRetrieval of phase history parameters from distributed scatterers in urban areas using very high resolution SAR data / Y. Wang in ISPRS Journal of photogrammetry and remote sensing, vol 73 (September 2012)PermalinkSnowSAR: Battling climate change for ESA / A. Meta in GEO: Geoconnexion international, vol 11 n° 8 (september 2012)PermalinkStable target detection and coherence estimation in interferometric SAR stacks / P. Guccione in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)PermalinkThe TropiSAR airborne campaign in French Guiana : objectives, description, and observed temporal behavior of the backscatter signal / P. Dubois-Fernandez in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)PermalinkTOPS interferometry with TerraSAR-X / Pau Prats-Iraola in IEEE Transactions on geoscience and remote sensing, vol 50 n° 8 (August 2012)PermalinkApport des données TerraSar-X pour le suivi de l'activité du Piton de la Fournaise / J.L. Froger in Revue Française de Photogrammétrie et de Télédétection, n° 197 (Juin 2012)PermalinkNovasar: space-based radar for all / D. Willetts in GEO: Geoconnexion international, vol 11 n° 6 (june 2012)PermalinkEvaluation of bayesian despeckling and texture extraction methods based on Gauss–Markov and auto-binomial gibbs random fields: Application to TerraSAR-X data / D. Espinoza Molina in IEEE Transactions on geoscience and remote sensing, vol 50 n° 5 Tome 2 (May 2012)Permalink