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Titre : Filtrage de Kalman à bruits corrélés pour le positionnement précis Type de document : Mémoire Auteurs : Ulrich Mambou Kuipou, Auteur Editeur : Le Mans : Ecole Supérieure des Géomètres et Topographes ESGT Année de publication : 2016 Importance : 75 p. Format : 21 x 30 cm Note générale : bibliographie
Mémoire présenté en vue d'obtenir le diplôme d'Ingénieur CNAM, Spécialité Géomètre et TopographeLangues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] analyse de variance
[Termes IGN] auscultation topographique
[Termes IGN] bruit blanc
[Termes IGN] corrélation temporelle
[Termes IGN] estimateur
[Termes IGN] étalonnage des données
[Termes IGN] filtre de Kalman
[Termes IGN] méthode de Monte-Carlo par chaînes de Markov
[Termes IGN] méthode des moindres carrés
[Termes IGN] méthode du maximum de vraisemblance (estimation)
[Termes IGN] précision du positionnement
[Termes IGN] topométrie de précisionRésumé : (auteur) Le filtre de Kalman à bruits corrélés peut être considéré comme une alternative aux solutions de filtrage classique, car il améliore la précision du positionnement. Les applications de ce nouveau filtre seraient très intéressantes pour le couplage de mesures dans les domaines suivants : photogrammétrie, télédétection aérienne, bathymétrie et «mobile mapping». L’objectif visé par ce travail de fin d’études, est d’évaluer les performances du filtre de Kalman à bruits corrélés dans une expérience d’auscultation. Dans l’optique de mettre en évidence la puissance de ce filtre, il y a lieu d’estimer par le maximum de vraisemblance, d’une part la variance du modèle d’évolution et d’autre part la corrélation des modèles (même corrélation de bruits, pour les modèles d’évolution et d’observation) en fixant au préalable une structure de corrélation aux dits modèles. Note de contenu : Introduction
1- Expérience de Bogatin
2- Méthode de calibration et résultat du filtrage de Kalman
3- Bruits corrélés : estimation et filtrage de Kalman à bruits corrélés
4- Applications sur des données réellesNuméro de notice : 24612 Affiliation des auteurs : non IGN Thématique : MATHEMATIQUE/POSITIONNEMENT Nature : Mémoire ingénieur ESGT Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92178 Documents numériques
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Filtrage de Kalman à bruits ... - pdf auteurAdobe Acrobat PDF Fusion of space-borne multi-baseline and multi-frequency interferometric results based on extended Kalman filter to generate high quality DEMs / Xiaojie Zhang in ISPRS Journal of photogrammetry and remote sensing, vol 111 (January 2016)
[article]
Titre : Fusion of space-borne multi-baseline and multi-frequency interferometric results based on extended Kalman filter to generate high quality DEMs Type de document : Article/Communication Auteurs : Xiaojie Zhang, Auteur ; Qiming Zeng, Auteur ; Jian Jiao, Auteur ; Jingfa Zhang, Auteur Année de publication : 2016 Article en page(s) : pp 32 – 44 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] Chine
[Termes IGN] distorsion d'image
[Termes IGN] filtre de Kalman
[Termes IGN] fusion de données
[Termes IGN] image Envisat-ASAR
[Termes IGN] image radar moirée
[Termes IGN] image TerraSAR-X
[Termes IGN] modèle numérique de terrainRésumé : (auteur) Repeat-pass Interferometric Synthetic Aperture Radar (InSAR) is a technique that can be used to generate DEMs. But the accuracy of InSAR is greatly limited by geometrical distortions, atmospheric effect, and decorrelations, particularly in mountainous areas, such as western China where no high quality DEM has so far been accomplished. Since each of InSAR DEMs generated using data of different frequencies and baselines has their own advantages and disadvantages, it is therefore very potential to overcome some of the limitations of InSAR by fusing Multi-baseline and Multi-frequency Interferometric Results (MMIRs). This paper proposed a fusion method based on Extended Kalman Filter (EKF), which takes the InSAR-derived DEMs as states in prediction step and the flattened interferograms as observations in control step to generate the final fused DEM. Before the fusion, detection of layover and shadow regions, low-coherence regions and regions with large height error is carried out because MMIRs in these regions are believed to be unreliable and thereafter are excluded. The whole processing flow is tested with TerraSAR-X and Envisat ASAR datasets. Finally, the fused DEM is validated with ASTER GDEM and national standard DEM of China. The results demonstrate that the proposed method is effective even in low coherence areas. Numéro de notice : A2016-039 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.11.005 Date de publication en ligne : 12/12/2015 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.11.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79519
in ISPRS Journal of photogrammetry and remote sensing > vol 111 (January 2016) . - pp 32 – 44[article]
Titre : Gravity field processing towards LL-SST satellite missions Type de document : Thèse/HDR Auteurs : Ilias Daras, Auteur ; Roland Pail, Directeur de thèse Editeur : Munich : Bayerische Akademie der Wissenschaften Année de publication : 2016 Collection : DGK - C, ISSN 0065-5325 num. 770 Importance : 153 p. ISBN/ISSN/EAN : 978-3-7696-5182-9 Note générale : bibliographie
PhD DissertationLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] accéléromètre
[Termes IGN] champ de pesanteur terrestre
[Termes IGN] crénelage
[Termes IGN] filtrage du bruit
[Termes IGN] gravimétrie spatiale
[Termes IGN] interféromètre au laser
[Termes IGN] poursuite de satellite
[Termes IGN] résidu
[Termes IGN] satellite d'observation de la TerreRésumé : (auteur) This study focuses on important aspects concerning gravity field processing of future LL-SST [Low-Low Satellite-to-Satellite Tracking] satellite missions. Closed-loop simulations taking into account error models of new generation instrument technology are used to estimate the gravity field accuracy that future missions could provide. Limiting factors are identified, and methods for their treatment are developed. The contribution of all error sources to the error budget is analyzed. It is shown that gravity field processing with double precision may be a limiting factor for exploiting the nm-level accuracy of a laser interferometer. An enhanced numerical precision processing scheme is proposed instead, where double and quadruple precision is used in different parts of the processing chain. It is demonstrated that processing with enhanced precision can efficiently handle laser measurements and take full advantage of their accuracy, while keeping the computational times within reasonable levels. However, error sources of considerably larger impact are expected to affect future missions, with the accelerometer instrument noise and temporal aliasing effects being the most significant ones. The effect of time-correlated noise such as the one present in accelerometer measurements, can be efficiently handled by frequency dependent data weighting. Residual time series that contain the effect of system errors and propagated accelerometer and laser noise, is considered as a noise realization with stationary stochastic properties. The weight matrix is constructed from the auto-correlation functions of these residuals. Applying the weight matrix to a noise case considering all error sources leads to reduction of the error level over the complete spectral bandwidth. Co-estimation of empirical accelerations does not show the same efficiency in reducing the propagated noise with the applied processing strategy. Temporal aliasing effects are reduced essentially by adding a second pair of satellites at an inclined orbit. Compared to a GRACE-type near-polar pair, such a Bender-type constellation delivers solutions with major improvements in terms of de-aliasing potential and recovery performance. When the integrated effect of all geophysical processes is recovered, the maximum spatial resolution of 11-day solutions can be increased from 715 to 315 km half-wavelength. A further reduction of temporal aliasing errors is possible by co-parameterizing low resolution gravity fields at short time intervals, together with the higher resolution gravity field which is sampled at a longer time interval. One day was found to be the optimal sampling period for reducing the error levels in the solutions. A uniform sampling at the co-parameterized short periods, is a prerequisite for an efficient reduction of aliasing errors. High frequency atmospheric signals are captured by daily solutions to a large extent. Hence co-parameterization at daily basis results in significant reduction of aliasing caused by their under-sampling. This enables future gravity satellite missions to deliver the complete spectrum of Earth's geophysical processes. The corresponding by-products of daily gravity field solutions are expected to be very useful to atmospheric science and open doors to new fields of application. Note de contenu : 1. Introduction
1.1. Background
1.2. Motivation and objectives of this study
1.3. Outline
2. Earth's gravity field determination form satellite observations
2.1. Pertubing forces acting on a satellite
2.2. Geopotential and its functionals
2.3. Dedicated gravity satellite missions
2.4. Concepts for future satellite gravity missions
3. Description of the simulation environment for the gravity fields recovery
3.1. Outline of the simulation environment
3.2. Coordinate and time systems
3.3. Simulation if the satellite orbits
3.4. Functional model
3.5. Formulation of the NEQ system
3.6. Solution of the NEQ system
4. Design aspects and error budget of future dedicated gravity satellite missions
4.1. Orbit design
4.2. Satellite formation flights
4.3. Selected orbits for the simulations
4.4. Science and mission requirements
4.5. Noise models for the performance of the instruments
4.6. Error budget analysis
7. Treatment of temporal aliasing effects
7.1. Temporal aliasing for NGGLs
7.2. Co-parameterization of low spatial resolution gravity fiels solutions at higher frequencies
7.3. Retrieval content of NGGM gravity fiels solutions
8. ConclusionsNuméro de notice : 19791 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Thèse étrangère Note de thèse : PhD Dissertation : Geodesy : Stuttgart : 2016 DOI : sans En ligne : http://nbn-resolving.de/urn:nbn:de:bvb:91-diss-20160211-1279854-1-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85011 Improving MEMS-IMU/GPS integrated systems for land vehicle navigation applications / S. Sasani in GPS solutions, vol 20 n° 1 (January 2016)
[article]
Titre : Improving MEMS-IMU/GPS integrated systems for land vehicle navigation applications Type de document : Article/Communication Auteurs : S. Sasani, Auteur ; Jamal Asgari, Auteur ; Ali Reza Amiri-Simkooei, Auteur Année de publication : 2016 Article en page(s) : pp 89 - 100 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] attitude and heading reference system AHRS
[Termes IGN] filtre de Kalman
[Termes IGN] GPS-INS
[Termes IGN] microsystème électromécanique
[Termes IGN] orientation de véhiculeRésumé : (Auteur) The cost of inertial navigation systems (INS) has decreased significantly during recent years using micro-electro-mechanical system technology in production of inertial measurement units (IMUs). However, these IMUs do not provide the accuracy and stability of their classical mechanical counterparts which limit their applications. Hence, the error control of such systems is of the great importance which is achievable using external information via an appropriate fusion algorithm. Traditionally, this external information can be derived from global positioning system (GPS). But it is well known that GPS data availability and accuracy are vulnerable to signal-degrading circumstances and satellite visibility. We introduce a standalone attitude and heading reference system (AHRS) algorithm which employs the IMU and magnetometers data in an averaging manner. The averaging method is different from a simple smoothing procedure, since it takes the rotations of the platform (during the averaging interval) into account. The proposed AHRS solution is further used to provide additional attitude updates with adaptive noise variances for the integrated INS/GPS system during GPS outages via a refined loosely coupled filtering procedure, making the error growth well restrained. Functionality of the algorithm has been assessed via a field test. The results indicate that the proposed procedure outperforms the traditional integration scheme in different situations, while the latter almost loses track of the movements of the vehicle after 60-second GPS outages. Numéro de notice : A2016-604 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : 10.1007/s10291-015-0471-3 En ligne : http://dx.doi.org/10.1007/s10291-015-0471-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81803
in GPS solutions > vol 20 n° 1 (January 2016) . - pp 89 - 100[article]Remote Sensing Observations of Continental Surfaces, ch. 7. Digital Terrain Models derived from airborne lidar data / Clément Mallet (2016)
contenu dans Remote Sensing Observations of Continental Surfaces, vol 1. Optical Remote Sensing of Land Surface / Nicolas Baghdadi (2016)
Titre de série : Remote Sensing Observations of Continental Surfaces, ch. 7 Titre : Digital Terrain Models derived from airborne lidar data Type de document : Chapitre/Contribution Auteurs : Clément Mallet , Auteur ; Nicolas David , Auteur Editeur : Londres : ISTE Press Année de publication : 2016 Importance : pp 299 - 320 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] filtrage du bruit
[Termes IGN] interpolation
[Termes IGN] modèle numérique de terrain
[Termes IGN] modélisation 3D
[Termes IGN] morphologie mathématique
[Termes IGN] précision altimétrique
[Termes IGN] semis de points
[Termes IGN] Triangulated Irregular NetworkRésumé : (auteur) This chapter focuses on the automatic generation of Digital Terrain Models (DTMs) on the basis of the three-dimensional (3D) point clouds generated by airborne topographic LiDAR sensors. A DTM is a mathematical representation (model) of the ground surface, most often in the form of a regular grid, in which a unique elevation value is assigned to each pixel. Thus, objects, including permanent off-ground components such as vegetation and buildings, can be detected. When the latter are included, reference is made to the digital surface model (DSM), used to analyze the ground surface visible from the sky (i.e. the surface which can be obtained natively in standard optical imagery). Numéro de notice : H2016-010 Affiliation des auteurs : LASTIG MATIS (2012-2019) Thématique : IMAGERIE Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1016/B978-1-78548-102-4.50007-7 Date de publication en ligne : 07/10/2016 En ligne : https://doi.org/10.1016/B978-1-78548-102-4.50007-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91790 Spectral–spatial adaptive sparse representation for hyperspectral image denoising / Ting Lu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)PermalinkVers la prise en compte de la dépendance spatio temporelle des séries de position GNSS dans leur analyse / Clément Benoist (2016)PermalinkAn approach to fine coregistration between very high resolution multispectral images based on registration noise distribution / Youkyung Han in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)PermalinkA phase space reconstruction based single channel ICA algorithm and its application in dam deformation analysis / W. Dai in Survey review, vol 47 n° 345 (November 2015)PermalinkOn diverse noises in hyperspectral unmixing / Chunzhi Li in IEEE Transactions on geoscience and remote sensing, vol 53 n° 10 (October 2015)PermalinkTightly coupled integration of GPS precise point positioning and MEMS-based inertial systems / Mahmoud Abd Rabbou in GPS solutions, vol 19 n° 4 (october 2015)PermalinkTracking 3D moving objects based on GPS/IMU navigation solution, laser scanner point cloud and GIS data / Siavash Hosseinyalamdary in ISPRS International journal of geo-information, vol 4 n°3 (September 2015)PermalinkMeasuring the directional variations of land surface reflectance from MODIS / François-Marie Bréon in IEEE Transactions on geoscience and remote sensing, vol 53 n° 8 (August 2015)PermalinkReduction of PPP convergence period through pseudorange multipath and noise mitigation / Garrett Seepersad in GPS solutions, vol 19 n° 3 (July 2015)PermalinkSpectral–spatial kernel regularized for hyperspectral image denoising full text / Yuan Yuan in IEEE Transactions on geoscience and remote sensing, vol 53 n° 7 (July 2015)Permalink