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Titre : Advances in SAR: Sensors, Methodologies, and Applications Type de document : Monographie Auteurs : Timo Balz, Editeur scientifique ; Uwe Soergel, Editeur scientifique ; Mattia Crespi, Editeur scientifique ; Batuhan Osmanoglu, Editeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2018 Importance : 530 p. Format : 17 x 24 cm ISBN/ISSN/EAN : 978-3-03897-183-2 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes descripteurs IGN] étalonnage
[Termes descripteurs IGN] image radar moirée
[Termes descripteurs IGN] image Sentinel-SAR
[Termes descripteurs IGN] image TanDEM-X
[Termes descripteurs IGN] image TerraSAR-X
[Termes descripteurs IGN] interféromètrie par radar à antenne synthétique
[Termes descripteurs IGN] polarimétrie radar
[Termes descripteurs IGN] télédétection en hyperfréquenceRésumé : (éditeur) The key importance of radar remote sensing for civil applications has been recognized for decades, and enormous scientific and technical developments have been carried out to further improve SAR sensors and SAR data processing. In recent years, SAR satellite constellations, consisting of two or more satellites, are becoming the “new normal” in SAR remote sensing. The present availability of SAR sensor constellations, such as Cosmo SkyMed, TerraSAR-X/TanDEM-X, and the new Copernicus sensors Sentinel-1A and 1B, supply a continuous stream of imagery with a unique short revisit cycle of only six days. Together with many more operational and planned SAR satellite systems, such as Geo-Fen 3 or NASA ISRO SAR (NISAR), this unprecedented amount of high-quality SAR data is suitable for a variety of applications, provided proper data processing methodology are applied. In "Advances in SAR: Sensors, Methodologies, and Applications" advancements in the field of hardware, software, and applications are presented, covering a wide range of topics. Note de contenu : 1- Pre-flight SAOCOM-1A SAR performance assessment by outdoor campaign
2- On the design of radar corner reflectors for deformation monitoring in
multi-frequency InSAR
3- Identification of C-Band radio frequency interferences from Sentinel-1 data
4- An accelerated backprojection algorithm for monostatic and bistatic SAR processing
5- Signal processing for a multiple-input,division frequency-modulated continuous wave (FMCW)
6- Fast and efficient correction of ground moving targets in a Synthetic Aperture Radar, single-look complex image
7- A unified algorithm for channel imbalance and antenna phase center position calibration of a single-pass multi-baseline TomoSAR System
8- InSAR Deformation Analysis with Distributed Scatterers: A Review Complemented by
New Advances
9- Modeling orbital error in InSAR interferogram using frequency and spatial domain
based methods
10- Ionospheric reconstructions using Faraday rotation in spaceborne polarimetric SAR data
11- An efficient maximum likelihood estimation approach of multi-baseline SAR interferometry for refined topographic mapping in mountainous areas
12- Elevation extraction and deformation monitoring by multitemporal InSAR of Lupu Bridge in Shanghai
13- Ground deformations around the Toktogul reservoir, Kyrgyzstan, from Envisat ASAR and Sentinel-1 data - A case study about the impact of atmospheric corrections on InSAR
time series
14- Time series analysis of very slow landslides in the Three Gorges region through small baseline SAR offset tracking
15- Landslide displacement monitoring with split- bandwidth interferometry: A case study of the shuping landslide in the Three Gorges area
16- Split-band interferometry-assisted phase unwrapping for the phase ambiguities correction
17- Better estimated IEM input parameters using random fractal geometry applied on
multi-frequency SAR data
18- The role of resolution in the estimation of fractal dimension maps From SAR data
19- Statistical modeling of polarimetric SAR data: A survey and challenges
20- Multi-feature segmentation for high-resolution polarimetric SAR data based on fractal net evolution approach
21- PolSAR land cover classification based on roll-invariant and selected hidden polarimetric features in the rotation domain
22- A SAR-based index for landscape changes in African savannas
23- Semi-automated surface water detection with Synthetic Aperture Radar Data: A wetland case study
24- Coherence change-detection with Sentinel-1 for natural and anthropogenic disaster
monitoring in urban areas
25- Multi-layer model based on multi-scale and multi-feature fusion for SAR images
26- L-Band temporal coherence assessment and modeling using amplitude and snow depth
over interior AlaskaNuméro de notice : 28510 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie DOI : 10.3390/books978-3-03897-183-2 En ligne : https://doi.org/10.3390/books978-3-03897-183-2 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97066 III-7 - July 2016 - [actes] XXIII ISPRS Congress, Commission 7, 12–19 July 2016, Prague, Czech Republic (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences) / Lena Halounova
est un bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences / International society for photogrammetry and remote sensing (2012 - )
Titre : III-7 - July 2016 - [actes] XXIII ISPRS Congress, Commission 7, 12–19 July 2016, Prague, Czech Republic Type de document : Périodique Auteurs : Lena Halounova, Editeur scientifique ; F. Sunar, Editeur scientifique ; Markéta Potůčková, Editeur scientifique ; L. Patková, Editeur scientifique ; M. Yoshimura, Editeur scientifique ; Uwe Soergel, Editeur scientifique ; Eyal Ben-Dor, Editeur scientifique ; J. Smit, Editeur scientifique ; G. Bareth, Editeur scientifique ; J. Zhang, Editeur scientifique ; S. Kaasalainen, Editeur scientifique ; Batuhan Osmanoglu, Editeur scientifique ; M. Crespi, Editeur scientifique ; Michele Crosetto, Editeur scientifique ; Thomas Blaschke, Editeur scientifique ; Maria Antonia Brovelli, Editeur scientifique ; B. Zagajewski, Editeur scientifique Congrès : ISPRS 2016, 23th international congress (12 - 19 juillet 2016; Prague, République tchèque), Auteur Année de publication : 2016 Langues : Français (fre) Numéro de notice : sans Affiliation des auteurs : non IGN Nature : Numéro de périodique En ligne : http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-7/index.html Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=27508 [n° ou bulletin]
est un bulletin de ISPRS Journal of photogrammetry and remote sensing / International society for photogrammetry and remote sensing (1990 - )
Titre : vol 100 - February 2015 - High-resolution Earth imaging for geospatial information Type de document : Périodique Auteurs : Christian Heipke, Editeur scientifique ; Uwe Soergel, Editeur scientifique ; Franz Rottensteiner, Editeur scientifique ; Boris Jutzi, Editeur scientifique Année de publication : 2015 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes descripteurs IGN] analyse comparative
[Termes descripteurs IGN] façade
[Termes descripteurs IGN] image hyperspectrale
[Termes descripteurs IGN] MicMac
[Termes descripteurs IGN] réseau de surveillance géophysiqueNuméro de notice : 081-201502 Affiliation des auteurs : non IGN Nature : Numéro de périodique En ligne : http://www.sciencedirect.com/science/journal/09242716/100 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=24835 [n° ou bulletin]Contient
- In-flight photogrammetric camera calibration and validation via complementary lidar / A.S. Gneeniss in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
- Coregistration refinement of hyperspectral images and DSM: An object-based approach using spectral information / Janja Avbelj in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
- Radiometric and geometric evaluation of GeoEye-1, WorldView-2 and Pléiades-1A stereo images for 3D information extraction / Daniela Poli in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
- Measurement of ground displacement from optical satellite image correlation using the free open-source software MicMac / Ana-Maria Rosu in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
- 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)
- Measuring thermal expansion using X-band persistent scatterer interferometry / Michele Crosetto in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
- Persistent scatterers at building facades – Evaluation of appearance and localization accuracy / Stefan Gernhardt in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
- Integrating SAR and derived products into operational volcano monitoring and decision support systems / Franz J. Meyer in ISPRS Journal of photogrammetry and remote sensing, vol 100 (February 2015)
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Code-barres Cote Support Localisation Section Disponibilité 081-2015021 RAB Revue Centre de documentation En réserve 3L Disponible Contextual classification of lidar data and building object detection in urban areas / Joachim Niemeyer in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)
Titre : Contextual classification of lidar data and building object detection in urban areas Type de document : Article/Communication Auteurs : Joachim Niemeyer, Auteur ; Franz Rottensteiner, Auteur ; Uwe Soergel, Auteur Année de publication : 2014 Article en page(s) : pp 152 - 165 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes descripteurs IGN] champ aléatoire de Markov
[Termes descripteurs IGN] classification contextuelle
[Termes descripteurs IGN] classification par forêts aléatoires
[Termes descripteurs IGN] détection du bâti
[Termes descripteurs IGN] données lidar
[Termes descripteurs IGN] données localisées 3D
[Termes descripteurs IGN] milieu urbain
[Termes descripteurs IGN] reconstruction 3D du bâtiRésumé : (Auteur) In this work we address the task of the contextual classification of an airborne LiDAR point cloud. For that purpose, we integrate a Random Forest classifier into a Conditional Random Field (CRF) framework. It is a flexible approach for obtaining a reliable classification result even in complex urban scenes. In this way, we benefit from the consideration of context on the one hand and from the opportunity to use a large amount of features on the other hand. Considering the interactions in our experiments increases the overall accuracy by 2%, though a larger improvement becomes apparent in the completeness and correctness of some of the seven classes discerned in our experiments. We compare the Random Forest approach to linear models for the computation of unary and pairwise potentials of the CRF, and investigate the relevance of different features for the LiDAR points as well as for the interaction of neighbouring points. In a second step, building objects are detected based on the classified point cloud. For that purpose, the CRF probabilities for the classes are plugged into a Markov Random Field as unary potentials, in which the pairwise potentials are based on a Potts model. The 2D binary building object masks are extracted and evaluated by the benchmark ISPRS Test Project on Urban Classification and 3D Building Reconstruction. The evaluation shows that the main buildings (larger than 50 m2) can be detected very reliably with a correctness larger than 96% and a completeness of 100%. Numéro de notice : A2014-017 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32922
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Titre : Grouping of Persistent Scatterers in high-resolution SAR data of urban scenes Type de document : Article/Communication Auteurs : A. Schunert, Auteur ; Uwe Soergel, Auteur Année de publication : 2012 Article en page(s) : pp 80 - 79 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes descripteurs IGN] coin réflecteur
[Termes descripteurs IGN] façade
[Termes descripteurs IGN] fenêtre (bâtiment)
[Termes descripteurs IGN] image radar moirée
[Termes descripteurs IGN] image TerraSAR-X
[Termes descripteurs IGN] interféromètrie par radar à antenne synthétique
[Termes descripteurs IGN] zone urbaineRésumé : (Auteur) Persistent Scatterer Interferometry (PSI) is a technique to simultaneously estimate surface deformation and 3D structure from stacks of SAR images. It was proposed first about one decade ago to monitor preferably urban areas, where in general the highest numbers of PS are found. At that time no high-resolution satellite SAR data were available. Instead, for example, stacks of ERS imagery were used providing ground range resolution of about 25 m. In data of such kind only the strongest PS can be detected, which are usually caused by corner reflectors built by orthogonal building and road planes of considerable size, whereas smaller structures causing weaker ones signal are averaged by clutter or mutually interfere with others in the same resolution cell. Thus, if any, only a few or even just one single PS are found per building. The advent of a new sensor generation of systems like TerraSAR-X and COSMO-Skymed in 2007 led to a significant improvement of spatial resolution of about one order of magnitude. This comes along with a dramatic rise of PS density: In some cases tens to hundreds are detected at large buildings, which offers the possibility to monitor even individual urban objects. In addition, especially at building façades the distribution of those PS is often quite regular. A reason for that is the usually rectilinear arrangement of façade structures inducing PS like windows or balconies. Those patterns contain a lot of information about the objects under investigation, which is mostly ignored in current PSI processing schemes. For example, consider a regular structure of windows on a certain façade of a multi-story building. Assuming the same kind of structure generates one single PS at each window, the phase centers of all scatterers caused by windows of each floor share the same height. This means, we may benefit from such kind of redundancy, for instance, to improve the height estimate by averaging over PS having the same elevation. In this work, we first discuss the regular appearance of PS at urban façades for an urban test scene in TerraSAR-X spotlight mode data. Then, we show how PS analysis could benefit by exploitation of the redundancy due to repetitive patterns of man-made objects. Finally, we propose a PS grouping scheme based on a production system and discuss first results achieved for the test area. Numéro de notice : A2012-546 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31992
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