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Auteur Martina Porfiri |
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Digital surface model generation over urban areas using high resolution satellite SAR imagery : tomographic techniques and their application to 3-Dchange monitoring / Martina Porfiri (2016)
Titre : Digital surface model generation over urban areas using high resolution satellite SAR imagery : tomographic techniques and their application to 3-Dchange monitoring Type de document : Thèse/HDR Auteurs : Martina Porfiri, Auteur ; Mattia Crespi, Auteur ; Laurent Ferro-Famil, Auteur Editeur : Rennes : Université de Rennes 1 Année de publication : 2016 Autre Editeur : Rennes : Université Bretagne Loire Importance : 137 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse de l'Université de Rennes 1 sous le sceau de l’Université Bretagne Loire, En Cotutelle Internationale avec l'Université de Rome 1 « La Sapienza », Traitement du signal et télécommunications.Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] détection de changement
[Termes IGN] distorsion d'image
[Termes IGN] image à haute résolution
[Termes IGN] image radar moirée
[Termes IGN] milieu urbain
[Termes IGN] modèle numérique de surface
[Termes IGN] Paris (75)
[Termes IGN] polarisation
[Termes IGN] reconstruction 3D du bâti
[Termes IGN] réflectivité
[Termes IGN] semis de points
[Termes IGN] tomographie radarIndex. décimale : THESE Thèses et HDR Résumé : (auteur) The urbanization and the management of urban environment and its periphery become one of the most crucial issues in developed and developing countries. In these circumstances, remote sensing data are an important source of information that reflects interactions between human beings and their environment. Given their complete independence from logistic constraints on the ground, illumination (daylight), and weather (clouds) conditions, Synthetic Aperture Radar (SAR) satellite systems may provide important contributions in complex environments 3-D reconstruction. The new generation of high resolution SAR sensors as COSMO-SkyMed, TerraSAR-X and RADARSAT-2 allowed to acquire high resolution SAR imagery. Here the attention is put on the 3-D imaging technique called SAR Tomography: starting from a stack of images collected using multibaseline data performed in interferometric configuration, such a technique allows to retrieve height information forming a synthetic aperture in the elevation direction in order to achieve a substantially improved resolution. The present PhD thesis is focused on the high potentialities of tomographic techniques in 3-D change monitoring and characterization for complex and dense built-up areas using basic mono-dimensional estimators as Beamforming, Capon and MUSIC combined to very high satellite SAR resolution imagery. 2-D and 3-D analysis have been presented over the urban area of Paris using TerraSAR-X data at high resolution and single polarisation. Being mainly focused on the 3-D tomographic techniques, in the presented work 4-D methods, such as compressive sensing (CS), have not been taken into account. At first, the analysis of the interferometric quality of the processed data set has been performed and results showed good mean coherence values within the entire stack. The extraction of 2-D tomograms over different azimuth-profile has showed the capabilities to distinguish more than one scatterer within the same resolution cell and to reconstruct the vertical building profiles. Successively, a global 3-D characterization both in term of buildings heights and vertical reflectivity has been performed in order to develop a monitoring tool for the changes of single structures. Moreover, the possibility to correct the geometric distortions due to the layover (that strongly affects such kind of scenarios) and to determine the information about the number of scatterers (up to three) and the corresponding reflectivity within one resolution cell have been evaluated. Moreover an innovative time stability analysis of the observed scene have been carried out in order to detect the stable and unstable scatterers. Globally, the investigations showed noisier and sparser point clouds for the Capon method, whereas better capabilities for the Beamforming and MUSIC ones. Indeed, it was possible to detect different scatterers located within the same resolution cell and to resolve pixels affected by the layover. This has lead to perform a good reconstruction of building shape and location and a good estimation of their elevation. The 3-D time stability analysis demonstrated the possibility to monitor the 3-D change depending on the time. Eventually, it is possible to assert that processing high resolution SAR data allows to achieve a strong improvement in 3-D imaging capabilities. It has been demonstrated the potentialities of TomoSAR technique in distortions correction and in 3-D change monitoring using basic mono-dimensional estimators. Note de contenu : 1- Introduction
2- SAR: Synthetic Aperture Radar
3- 3-D SAR imaging
4- SAR Tomography
5- 2-D analysis and results
6- 3-D analysis and results
7- Conclusions and outlookNuméro de notice : 25879 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Traitement du signal et télécommunications : Université Bretagne Loire : 2016 Organisme de stage : Institut d’Electronique et de Télécommunications de Rennes nature-HAL : Thèse DOI : sans En ligne : http://www.theses.fr/2016REN1S035 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95690 Evaluation and comparison of different radargrammetric approaches for Digital Surface Models generation from COSMO-SkyMed, TerraSAR-X, RADARSAT-2 imagery: Analysis of Beauport (Canada) test site / P. Capaldo in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
[article]
Titre : Evaluation and comparison of different radargrammetric approaches for Digital Surface Models generation from COSMO-SkyMed, TerraSAR-X, RADARSAT-2 imagery: Analysis of Beauport (Canada) test site Type de document : Article/Communication Auteurs : P. Capaldo, Auteur ; Andrea Nascetti, Auteur ; Martina Porfiri, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 60 - 70 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] évaluation des données
[Termes IGN] Geomatica (logiciel)
[Termes IGN] image Cosmo-Skymed
[Termes IGN] image radar moirée
[Termes IGN] image Radarsat
[Termes IGN] image TerraSAR-X
[Termes IGN] modèle géométrique de prise de vue
[Termes IGN] modèle numérique de surface
[Termes IGN] orbite
[Termes IGN] orientation
[Termes IGN] orientation du capteur
[Termes IGN] radargrammétrie
[Termes IGN] SISARRésumé : (auteur) In this manuscript, we analyze the potentialities of the radargrammetric DSMs generation using high resolution SAR imagery acquired by three different platforms (COSMO-SkyMed, TerraSAR-X and RADARSAT-2), with particular attention to geometric orientation models. Two orientation models are considered and compared: Toutin’s model (Canada Center for Remote Sensing), implemented in the commercial software package PCI-Geomatica and based on Ground Control Points (GCPs), and the radargrammetric model implemented in the scientific software SISAR (University of Rome La Sapienza), based on images metadata orbital information only. Moreover, a comparison between the DSMs following the image matching approaches implemented in PCI-Geomatica and SISAR has been performed. The analysis has been carried out over Beauport test site (Quebec, Canada), where three overlapping stereopairs, one for each of the mentioned platform, were acquired and a LiDAR ground truth and a dense set of GNSS Check points (CPs) are available. The presented results appear promising: DSMs accuracy are within 4 and 5 m for all sensors, independently from orientation model (with or without GCP) and image matching approach, provided good relative orientation is guaranteed, what mainly attains to the quality of metadata orbital information. Numéro de notice : A2015-054 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.05.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.05.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=75287
in ISPRS Journal of photogrammetry and remote sensing > vol 100 (February 2015) . - pp 60 - 70[article]Exemplaires(1)
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