IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) . vol 45 n° 11 Tome 1Mention de date : November 2007 Paru le : 01/11/2007 ISBN/ISSN/EAN : 0196-2892 |
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est un bulletin de IEEE Transactions on geoscience and remote sensing / IEEE Geoscience and remote sensing society (Etats-Unis) (1986 -)
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Ajouter le résultat dans votre panierA new application for PolSAR imagery in the field of moving target indication/ship detection / C. Liu in IEEE Transactions on geoscience and remote sensing, vol 45 n° 11 Tome 1 (November 2007)
[article]
Titre : A new application for PolSAR imagery in the field of moving target indication/ship detection Type de document : Article/Communication Auteurs : C. Liu, Auteur ; H. Gierull, Auteur Année de publication : 2007 Article en page(s) : pp 3426 - 3436 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] données polarimétriques
[Termes IGN] image radar moirée
[Termes IGN] navire
[Termes IGN] objet mobile
[Termes IGN] polarimétrie radarRésumé : (Auteur) Recent analysis of a polarimetric synthetic aperture radar (PolSAR) velocity experiment has shown that azimuth ambiguities can provide useful information for the detection of moving targets with an across-track velocity component in PolSAR images using cross-polarization clutter cancellation. This paper examines this phenomenon using theoretical analysis and simulations and illustrates its application with experimental results. It is shown that, for reciprocal scatterers, the phase difference between HV and VH images is zero, whereas for HV and VH ambiguities, the phase difference is For land applications, clutter cancellation is essential for the detection of moving targets in PolSAR images. For maritime applications, it can be used to distinguish images from ambiguities. However, it is important to note that the underlying physical reasons for the performance of clutter cancellation are entirely different from ground moving target indication along-track interferometric SAR. It is also shown that cross-pol clutter cancellation is related to filtering of a double-rate-sampled single-channel SAR signal. Numéro de notice : A2007-503 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2007.907192 En ligne : https://doi.org/10.1109/TGRS.2007.907192 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28866
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 11 Tome 1 (November 2007) . - pp 3426 - 3436[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-07111A RAB Revue Centre de documentation En réserve L003 Disponible ScanSAR-to-Stripmap mode interferometry processing using ENVISAT-ASAR Data / A.B. Ortiz in IEEE Transactions on geoscience and remote sensing, vol 45 n° 11 Tome 1 (November 2007)
[article]
Titre : ScanSAR-to-Stripmap mode interferometry processing using ENVISAT-ASAR Data Type de document : Article/Communication Auteurs : A.B. Ortiz, Auteur ; H. Zebker, Auteur Année de publication : 2007 Article en page(s) : pp 3468 - 3480 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse diachronique
[Termes IGN] éruption volcanique
[Termes IGN] Hawaii (Etats-Unis)
[Termes IGN] image Envisat-ASAR
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] séisme
[Termes IGN] transformation en ZRésumé : (Auteur) Interferometric synthetic aperture radar (InSAR) images of geophysical events such as preeruptive volcano deformation or interseismic strain accumulation are often limited by phase distortions from the superimposed atmospheric signature. Additionally, the approximate monthly repeat cycle of many radar satellites cannot accurately capture rapidly time-varying processes. The Scanning Synthetic Aperture Radar (ScanSAR) mode of the ENVISAT/ASAR instrument permits more frequent revisits of a given area, potentially overcoming both of these limitations. In particular, stripmap mode-to-ScanSAR images provide a denser time series of interferograms than is possible with conventional stripmap-to-stripmap mode InSAR. We present images of ENVISAT/ASAR data acquired over Hawaii in which data acquired roughly weekly in ScanSAR mode are combined with ENVISAT/ASAR conventional stripmap mode data to form interferograms at a much denser temporal spacing. The burst nature of ScanSAR data requires a new processing method to form the interferograms. We use traditional matched filtering for the range compression. For the azimuth processing, we compute the stripmap mode data on the ScanSAR sampling grid using a variation, consisting of different reference functions, of Lanari's modified SPECAN algorithm that is itself an adaptation of the chirp z -transform to readjust the azimuth pulse spacing. The resulting interferograms faithfully reflect the phase of conventional interferograms, but exhibit fewer looks and coarser resolution than those produced by fully stripmap mode data. For many problems, temporal density of the deformation observations is paramount, and the time series analysis and temporal averaging that were made possible using ScanSAR interferograms far out-weigh the loss in looks and resolution. Copyright IEEE Numéro de notice : A2007-504 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2007.895970 En ligne : https://doi.org/10.1109/TGRS.2007.895970 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28867
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 11 Tome 1 (November 2007) . - pp 3468 - 3480[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-07111A RAB Revue Centre de documentation En réserve L003 Disponible Model limitations and parameter-estimation methods for agricultural applications of polarimetric SAR interferometry / Juan M. Lopez-Sanchez in IEEE Transactions on geoscience and remote sensing, vol 45 n° 11 Tome 1 (November 2007)
[article]
Titre : Model limitations and parameter-estimation methods for agricultural applications of polarimetric SAR interferometry Type de document : Article/Communication Auteurs : Juan M. Lopez-Sanchez, Auteur ; J.D. Ballestar-Berman, Auteur ; Y. Marquez-Moreno, Auteur Année de publication : 2007 Article en page(s) : pp 3481 - 3493 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] agriculture
[Termes IGN] analyse comparative
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] polarimétrie radar
[Termes IGN] précision des donnéesRésumé : (Auteur) Application of polarimetric synthetic aperture radar interferometry to the retrieval of geophysical parameters from yegetated scenes is based on simple direct models of such scenes. The first part of this paper presents an analysis of the correspon-dence between these simple models, namely, the random volume over ground and the oriented volume over ground (OVoG), and experimental data from samples of two agricultural crops (maize and rice) acquired in controlled conditions. Although an overall agreement between model and data is clear, some discrepancies have been found as a consequence of two assumptions in the model formulation: vertical homogeneity of the vegetation volume and absence of multiple scattering effects inside the volume. This paper presents the shape and location of the visible region of the experimental coherences on the complex plane and compares it with the feasible region predicted by the model. This comparison has also pointed out the low sensitivity of the direct model to extinction coefficients. In the second part, two different strategies for a complete inversion (i.e., estimation of all model parameters) of the OVoG model are proposed and compared, using the same data set. The first one is based on a combination of geometrical and numerical approaches (genetic algorithms) and the second one on a dual-baseline configuration. In all cases, ground topography is accurately estimated, with a maximum error of 10 cm. Vegetation height estimates are accurate up to 30 cm, with some bands and baseline configurations providing errors below 15 cm. However, results obtained for the extinction coefficients are not stable with frequency and exhibit high variability. Copyright IEEE Numéro de notice : A2007-505 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2007.900690 En ligne : https://doi.org/10.1109/TGRS.2007.900690 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28868
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 11 Tome 1 (November 2007) . - pp 3481 - 3493[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-07111A RAB Revue Centre de documentation En réserve L003 Disponible Building recognition from multi-aspect high-resolution InSAR data in urban areas / A. Thiele in IEEE Transactions on geoscience and remote sensing, vol 45 n° 11 Tome 1 (November 2007)
[article]
Titre : Building recognition from multi-aspect high-resolution InSAR data in urban areas Type de document : Article/Communication Auteurs : A. Thiele, Auteur ; E. Cadario, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 3583 - 3593 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] fusion de données multisource
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] primitive géométrique
[Termes IGN] radar à antenne synthétique
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] zone urbaineRésumé : (Auteur) The improved ground resolution of state-of-the-art synthetic aperture radar (SAR) sensors suggests utilizing SAR data for the analysis of urban areas. The appearance of buildings in SAR or interferometric SAR (InSAR) data is characterized by the consequences of the inherent oblique scene illumination, such as layover, occlusion by radar shadow, and multipath signal propagation. Therefore, particularly in dense built-up areas, building reconstruction is often impossible from a single SAR or InSAR measurement alone. But, the reconstruction quality can be significantly improved by a combined analysis of multi-aspect data. In this paper, two approaches are proposed to detect and reconstruct buildings of different size from multi-aspect high-resolution InSAR data sets. Both approaches focus on the recognition of buildings supported by knowledge-based analysis considering the mentioned SAR-specific effects observed in urban areas. Building features are extracted independently for each direction from the magnitude and phase information of the interferometric data. Initial primitives are segmented and afterward projected from slant-range into the world coordinate system. From the fused set of primitives of both flight directions, building hypotheses are generated. The first approach exploits the frequently observed lines of bright double-bounce scattering, which are used for building reconstruction in residential districts. In the case of larger buildings, such as industrial halls, often additional features of roof and facade elements are visible. Therefore, in a second approach, extended buildings are extracted by grouping primitives of different kinds. The two approaches are demonstrated in an urban environment for an InSAR data set, which has spatial resolution of about 30 cm and was taken from two orthogonal flight directions. Copyright IEEE Numéro de notice : A2007-506 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2619184 En ligne : https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7744453 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28869
in IEEE Transactions on geoscience and remote sensing > vol 45 n° 11 Tome 1 (November 2007) . - pp 3583 - 3593[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 065-07111A RAB Revue Centre de documentation En réserve L003 Disponible