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Image-based target detection and radial velocity estimation methods for multichannel SAR-GMTI / Kei Suwa in IEEE Transactions on geoscience and remote sensing, vol 55 n° 3 (March 2017)
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Titre : Image-based target detection and radial velocity estimation methods for multichannel SAR-GMTI Type de document : Article/Communication Auteurs : Kei Suwa, Auteur ; Kazuhiko Yamamoto, Auteur ; Masayoshi Tsuchida, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 1325 - 1338 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande Ku
[Termes IGN] détection de cible
[Termes IGN] estimation statistique
[Termes IGN] image radar moirée
[Termes IGN] objet mobile
[Termes IGN] vitesse radialeRésumé : (Auteur) In order to enhance the performance of spaceborne synthetic aperture radar-ground moving target indication (SAR-GMTI) systems, multichannel systems with large and preferably nonuniform baselines are required. In this paper, SAR-GMTI algorithms for multichannel SAR systems, which we call multichannel displaced phase center antenna (DPCA), multichannel along track interferometry (ATI), and multichannel DPCA-ATI, are presented. Multichannel DPCA is a deterministic algorithm for clutter and azimuth ambiguity suppression. It successfully suppresses not only uniform azimuth ambiguities but also nonuniform isolated ones, since it does not require uniform clutter covariance assumption as adaptive algorithms do. Multichannel ATI and multichannel DPCA-ATI are the algorithms for target radial velocity estimation. Both of them reduce the target radial velocity ambiguities, which arise with the long baseline systems, by exploiting the multiple receive channel signals. And multichannel DPCA-ATI further achieves robust performance to clutter influence by suppressing the clutter and the azimuth ambiguity in advance. The performances of the proposed algorithms are shown through airborne Ku-band three-channel SAR experiments. It is shown that the multichannel DPCA suppresses strong azimuth ambiguity up to more than 20 dB, and the accuracy of the radial velocity estimation of the multichannel DPCA-ATI is on the order of 0.1 m/s. Furthermore, statistical performance analysis is presented to discuss the potential performance on the spaceborne system. Numéro de notice : A2017-152 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2016.2622712 En ligne : https://doi.org/10.1109/TGRS.2016.2622712 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84684
in IEEE Transactions on geoscience and remote sensing > vol 55 n° 3 (March 2017) . - pp 1325 - 1338[article]
Titre : Robotics, vision and control Type de document : Monographie Auteurs : Peter Corke, Auteur Editeur : Springer International Publishing Année de publication : 2017 Importance : 570 p. Format : 21 x 27 cm ISBN/ISSN/EAN : 978-3-319-54413-7 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] Matlab
[Termes IGN] navigation inertielle
[Termes IGN] robot mobile
[Termes IGN] robotique
[Termes IGN] traitement d'image
[Termes IGN] vision par ordinateur
[Termes IGN] vitesse radialeRésumé : (éditeur) Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed a large body of such algorithms but for a newcomer to the field this can be quite daunting. For over 20 years the author has maintained two open-source MATLAB® Toolboxes, one for robotics and one for vision. They provide implementations of many important algorithms and allow users to work with real problems, not just trivial examples. This book makes the fundamental algorithms of robotics, vision and control accessible to all. It weaves together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together. Using the latest versions of the Toolboxes the author shows how complex problems can be decomposed and solved using just a few simple lines of code. The topics covered are guided by real problems observed by the author over many years as a practitioner of both robotics and computer vision. It is written in an accessible but informative style, easy to read and absorb, and includes over 1000 MATLAB and Simulink® examples and over 400 figures. The book is a real walk through the fundamentals of mobile robots, arm robots. then camera models, image processing, feature extraction and multi-view geometry and finally bringing it all together with an extensive discussion of visual servo systems. This second edition is completely revised, updated and extended with coverage of Lie groups, matrix exponentials and twists; inertial navigation; differential drive robots; lattice planners; pose-graph SLAM and map making; restructured material on arm-robot kinematics and dynamics; series-elastic actuators and operational-space control; Lab color spaces; light field cameras; structured light, bundle adjustment and visual odometry; and photometric visual servoing. Note de contenu : 1- Introduction
2- Representing Position and Orientation
3- Time and Motion
4- Mobile Robot Vehicles
5- Navigation
6- Localization
7- Robot Arm Kinematics
8- Manipulator Velocity
9- Dynamics and Control
10- Light and Color
11- Image Formation
12- Images and Image Processing
13- Image Feature Extraction
14- Using Multiple Images
15- Vision-Based Control
16- Advanced Visual ServoingNuméro de notice : 25794 Affiliation des auteurs : non IGN Thématique : IMAGERIE/INFORMATIQUE Nature : Monographie En ligne : https://doi.org/10.1007/978-3-319-54413-7 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95024 Geometry-information-aided efficient radial velocity estimation for moving target imaging and location based on Radon transform / Xuepan Zhang in IEEE Transactions on geoscience and remote sensing, vol 53 n° 2 (February 2015)
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Titre : Geometry-information-aided efficient radial velocity estimation for moving target imaging and location based on Radon transform Type de document : Article/Communication Auteurs : Xuepan Zhang, Auteur ; Guisheng Liao, Auteur ; Shengqi Zhu, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 1105 - 1117 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] géométrie
[Termes IGN] image radar moirée
[Termes IGN] objet mobile
[Termes IGN] transformation de Radon
[Termes IGN] vitesse radialeRésumé : (Auteur) Real-time radial velocity estimation is a key challenge for moving target imaging and location in current single-antenna synthetic aperture radar (SAR)-ground moving target indication systems. Since the conventional methods suffer from ambiguity, complexity realization, or heavy computation load for fast moving target motion estimation, this paper emphasizes the estimation efficiency by simple realization. An efficient Radon transform (RT) estimation is proposed to estimate the radial velocity of fast moving target by utilizing the geometry information, and much more geometry information is exploited to realize clutter cancellation, noise cancellation, and estimation error minimizing in the RT domain, which is not proposed by the others. With only two to four angles used to calculate rather than search for the radial velocity of moving targets, the proposed methods simplify the conventional range and angle (2-D) searching procedure into several time range (1-D) searching procedure efficiently. The theoretical and experimental analysis provides qualitative and quantitative evaluations into the effectiveness of the proposed methods. In the single-antenna SAR system, the proposed methods can estimate the radial velocity of fast moving target efficiently and accurately in high signal to clutter plus noise ratio scenarios. Numéro de notice : A2015-110 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2334322 En ligne : https://doi.org/10.1109/TGRS.2014.2334322 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75628
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 2 (February 2015) . - pp 1105 - 1117[article]Réservation
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Titre : Orbit choice and the theory of radial orbit error for altimetry Type de document : Chapitre/Contribution Auteurs : Georges Balmino, Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 1993 Collection : Lecture notes in Earth sciences num. 50 Importance : 69 p. Format : 21 x 30 cm Note générale : In Satellite altimetry in geodesy and oceanography, international summer school, Trieste, Italy, May 25-June 6, 1992 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Techniques orbitales
[Termes IGN] géoïde
[Termes IGN] mécanique orbitale
[Termes IGN] modèle de géopotentiel
[Termes IGN] orbite képlerienne
[Termes IGN] orbitographie
[Termes IGN] vitesse radialeRésumé : (auteur) Our goal is to give the minimum of what is necessary to fully understand the gross evolution of current altimeter satellite orbits around the Earth, what are the major gravitational perturbations, how global geopotential models are determined, and how large are the radial errors induced by uncertainties in such models. This is certainly the most critical concern when denning or running a mission, and that is why quite detailed developments and explanations will be given on the spectrum of these errors, on their relationship with geopotential coefficient covariance’s, and finally on their geographically correlated characteristics. This does not pretend to be a course of celestial mechanics, and we will use the most simple mathematical tools whenever possible, still preserving the rigor of the proofs. Numéro de notice : 18466 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Chapître / contribution Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=55392 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 18466-01 21.10 Tiré à part Centre de documentation Technologies spatiales Disponible
Titre : The role of orbit errors in processing of satellite altimeter data Type de document : Monographie Auteurs : E.J. Schrama, Auteur Editeur : Delft : Netherlands Geodetic Commission NGC Année de publication : 1989 Collection : Netherlands Geodetic Commission Publications on Geodesy Sous-collection : New series num. 33 Importance : 170 p. Format : 20 x 28 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Technologies spatiales
[Termes IGN] altimétrie satellitaire par radar
[Termes IGN] erreur
[Termes IGN] invariance
[Termes IGN] mécanique orbitale
[Termes IGN] orbitographie
[Termes IGN] pesanteur terrestre
[Termes IGN] Seasat
[Termes IGN] vitesse radialeNuméro de notice : 57963 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Monographie Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=60322 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 57963-01 21.10 Livre Centre de documentation Technologies spatiales Disponible 57963-02 21.10 Livre Centre de documentation Technologies spatiales Disponible PermalinkPermalinkPermalink