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A new polarimetric change detector in radar imagery / Armando Marino in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 2 (May 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 5 Tome 2 (May 2013) . - pp 2986 - 3000 Titre : A new polarimetric change detector in radar imagery Type de document : Article/Communication Auteurs : Armando Marino, Auteur ; Shane R. Cloude, Auteur ; Juan M. Lopez-Sanchez, Auteur Année de publication : 2013 Article en page(s) : pp 2986 - 3000 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bande C [Termes IGN] bande L [Termes IGN] bande X [Termes IGN] changement d'occupation du sol [Termes IGN] détection de changement [Termes IGN] image E-SAR [Termes IGN] image Radarsat [Termes IGN] image TerraSAR-X [Termes IGN] polarimétrie radar [Termes IGN] utilisation du sol Résumé : (Auteur) In modern society, the anthropogenic influences on ecosystems are central points to understand the evolution of our planet. A polarimetric synthetic aperture radar may have a significant contribution in tackling problems concerning land use change, since such data are available with any-weather conditions. Additionally, the discrimination capability can be enhanced by the polarimetric analysis. Recently, an algorithm able to identify targets scattering an electromagnetic wave with any degree of polarization has been developed, which makes use of a vector rearrangement of the elements of the coherency matrix. In the present work, this target detector is modified to perform change detection between two polarimetric acquisitions, for land use monitoring purposes. Regarding the selection of the detector parameters, a physical rationale is followed, developing a new parameterization of the algebraic space where the detector is defined. As it will be illustrated in the following, this space is 6-D complex with restrictions due to the physical feasibility of the vectors. Specifically, a link between the detector parameters and the angle differences of the eigenvector model is obtained. Moreover, a dual polarimetric version of the change detector is developed, in case quad-polarimetric data are not available. With the purpose of testing the methodology, a variety of data sets were exploited: quad-polarimetric airborne data at L-band (E-SAR), quad-polarimetric satellite data at C-band (Radarsat-2), and dual-polarimetric satellite data at X-band (TerraSAR-X). The algorithm results show agreement with the available information about land changes. Moreover, a comparison with a known change detector based on the maximum likelihood ratio is presented, providing improvements in some conditions. The two methodologies differ in the analysis of the total amplitude of the backscattering, where the proposed algorithm does not take this into consideration. Numéro de notice : A2013-270 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2211883 En ligne : https://doi.org/10.1109/TGRS.2012.2211883 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32408 [article]

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Spatio-temporal image pattern prediction method based on a physical model with time-varying optical flow / Hidetomo Sakaino in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 2 (May 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 5 Tome 2 (May 2013) . - pp 3023 - 3036 Titre : Spatio-temporal image pattern prediction method based on a physical model with time-varying optical flow Type de document : Article/Communication Auteurs : Hidetomo Sakaino, Auteur Année de publication : 2013 Article en page(s) : pp 3023 - 3036 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] détecteur [Termes IGN] données spatiotemporelles [Termes IGN] flux de données [Termes IGN] prédiction Résumé : (Auteur) This paper proposes an image-based prediction method that can physically predict near-future spatio-temporal image changes using fluid-like image sequences, i.e., dynamic texture, from different image sources such as ground-based radar imagers, satellite sensors, and lightning detectors. Previous alternatives, i.e., tracking radar echo by correlation or thunderstorm identification, tracking, analysis, and nowcasting, employ pattern matching or linear extrapolation of the centroid of an image object to predict the next time image with many tuning model parameters. However, such methods fail to handle the high degree of motion and deformation of fluid-like images, i.e., vortex. To remedy this issue, this paper presents a spatio-temporal prediction method based on a computer vision framework; it employs a physics-based model with time-variant optical flow. Initial local motions from image sequences are estimated by the extended optical flow method, where a locally optimal weighting parameter and a statistically robust function are applied to Horn and Schunck's model. The next time image sequence from the past image sequence is physically predicted by the extended advection equation for image intensities and the Navier–Stokes equation with a continuity equation for varying optical flow over time. For different source images, our method offers no prior knowledge of size, shape, texture, and motion of moving objects. Experiments demonstrate that the proposed prediction method outperforms a previous prediction method with respect to prediction accuracy. Numéro de notice : A2013-271 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2212201 En ligne : https://doi.org/10.1109/TGRS.2012.2212201 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32409 [article]

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065-2013051B	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A novel technique for the automatic detection of surface clutter returns in radar sounder data / Adam Ferro in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 2 (May 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 5 Tome 2 (May 2013) . - pp 3037 - 3055 Titre : A novel technique for the automatic detection of surface clutter returns in radar sounder data Type de document : Article/Communication Auteurs : Adam Ferro, Auteur ; Alain Pascal, Auteur ; Lorenzo Bruzzone, Auteur Année de publication : 2013 Article en page(s) : pp 3037 - 3055 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] détection automatique [Termes IGN] fouillis d'échos [Termes IGN] image radar [Termes IGN] Mars (planète) [Termes IGN] méthode robuste [Termes IGN] modèle numérique de surface [Termes IGN] radargrammétrie [Termes IGN] simulation [Termes IGN] sondeur acoustique [Termes IGN] surface du sol Résumé : (Auteur) One of the most critical problems that affect the analysis of orbiting radar sounder data is the presence of spurious surface clutter returns. These are due to off-nadir echoes related to surface topography which may be detected as (or mask) actual subsurface targets. The detection of such returns is usually carried out manually through a visual comparison between actual radargrams and surface clutter simulations obtained using available digital elevation models (DEMs). This is an inherently subjective and time-consuming task, which may reduce the scientific return of the data. In this paper, we address this problem by proposing a novel technique for the automatic detection of surface clutter returns in radar sounder data. The proposed method is made up of three steps: 1) the simulation of surface clutter returns using available DEMs; 2) the automatic coregistration between radargrams and simulations; and 3) the extraction of surface clutter returns from the coregistered radargrams. The coregistration step is performed in two phases: 1) a coarse registration based on the detection of the first return line on both input radargrams and 2) a fine registration based on B-spline deformation. The proposed technique is robust to radargram geometric deformations (e.g., due to ionospheric effects) and allows the generation of different types of outputs (e.g., coregistered simulations, binary clutter maps, and false-color compositions) that can both greatly support the scientific community in the manual analyses of radar sounder data and drive the development of reliable automatic methods for high level processing. The effectiveness of the proposed method is proven on two data sets acquired on different areas of Mars by the Shallow Radar instrument. Numéro de notice : A2013-272 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2219315 En ligne : https://doi.org/10.1109/TGRS.2012.2219315 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32410 [article]

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Time-reversal-based multipath mitigation technique for ISAR images / Imanol Arriba-Ruiz in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 2 (May 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 5 Tome 2 (May 2013) . - pp 3119 - 3138 Titre : Time-reversal-based multipath mitigation technique for ISAR images Type de document : Article/Communication Auteurs : Imanol Arriba-Ruiz, Auteur ; Félix Pérez-Martinez, Auteur ; José Munoz-Ferreras, Auteur Année de publication : 2013 Article en page(s) : pp 3119 - 3138 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] artefact [Termes IGN] correction du trajet multiple [Termes IGN] fenêtre (informatique) [Termes IGN] fouillis d'échos [Termes IGN] image ISAR [Termes IGN] radar à antenne synthétique inverse [Termes IGN] trajet multiple Résumé : (Auteur) Inverse synthetic aperture radar (ISAR) is a coherent high-resolution radar technique capable of providing range-Doppler images of non-cooperative targets. Conventional ISAR systems just consider a single reflection of transmitted waveforms from targets. Nevertheless, today's new applications force ISAR systems to work in much more complex scenarios such as urban environments. Consequently, multiple-bounce returns are additionally superposed to direct-scatter echoes. We refer to these as ghost images, since they obscure true target image and lead to poor visual quality, making target detection particularly difficult. By applying time reversal concept to ISAR imaging, it is possible to reduce considerably (or even mitigate) ghosting artifacts, recovering the lost quality due to multipath effects. Nevertheless, before applying this innovative technique, it is essential to estimate the distance between radar and target for each transmitted ramp and for each target scatterer. To that end, a pre-processing algorithm based on detecting the prominent points of a conventional ISAR image corrupted by multipath, followed by a windowing process, is used. Both simulated and real data are used to verify the proposed method. Numéro de notice : A2013-273 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2217500 En ligne : https://doi.org/10.1109/TGRS.2012.2217500 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32411 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2013051B	RAB	Revue	Centre de documentation	En réserve L003	Disponible