Auswahl der wissenschaftlichen Literatur zum Thema „Radar imageur“
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Zeitschriftenartikel zum Thema "Radar imageur"
Montopoli, M., G. Vulpiani, D. Cimini, E. Picciotti und F. S. Marzano. „Interpretation of observed microwave signatures from ground dual polarization radar and space multi-frequency radiometer for the 2011 Grímsvötn volcanic eruption“. Atmospheric Measurement Techniques 7, Nr. 2 (19.02.2014): 537–52. http://dx.doi.org/10.5194/amt-7-537-2014.
Der volle Inhalt der QuelleGuyot, Adrien, Jordan P. Brook, Alain Protat, Kathryn Turner, Joshua Soderholm, Nicholas F. McCarthy und Hamish McGowan. „Segmentation of polarimetric radar imagery using statistical texture“. Atmospheric Measurement Techniques 16, Nr. 19 (12.10.2023): 4571–88. http://dx.doi.org/10.5194/amt-16-4571-2023.
Der volle Inhalt der QuelleGogineni, S., J. B. Yan, J. Paden, C. Leuschen, J. Li, F. Rodriguez-Morales, D. Braaten et al. „Bed topography of Jakobshavn Isbræ, Greenland, and Byrd Glacier, Antarctica“. Journal of Glaciology 60, Nr. 223 (2014): 813–33. http://dx.doi.org/10.3189/2014jog14j129.
Der volle Inhalt der QuelleFrame, D. J., B. N. Lawrence, G. J. Fraser und M. D. Burrage. „A comparison between mesospheric wind measurements made near Christchurch (44°S, 173°E) using the high resolution doppler imager (HRDI) and a medium frequency (MF) radar“. Annales Geophysicae 18, Nr. 5 (31.05.2000): 555–65. http://dx.doi.org/10.1007/s00585-000-0555-3.
Der volle Inhalt der QuelleHasebe, F., T. Tsuda, T. Nakamura und M. D. Burrage. „Validation of HRDI MLT winds with meteor radars“. Annales Geophysicae 15, Nr. 9 (30.09.1997): 1142–57. http://dx.doi.org/10.1007/s00585-997-1142-7.
Der volle Inhalt der QuellePetracca, M., L. P. D’Adderio, F. Porcù, G. Vulpiani, S. Sebastianelli und S. Puca. „Validation of GPM Dual-Frequency Precipitation Radar (DPR) Rainfall Products over Italy“. Journal of Hydrometeorology 19, Nr. 5 (01.05.2018): 907–25. http://dx.doi.org/10.1175/jhm-d-17-0144.1.
Der volle Inhalt der QuelleJiang, Chong, Lin Ren, Jingsong Yang, Qing Xu und Jinyuan Dai. „Wind Speed Retrieval Using Global Precipitation Measurement Dual-Frequency Precipitation Radar Ka-Band Data at Low Incidence Angles“. Remote Sensing 14, Nr. 6 (18.03.2022): 1454. http://dx.doi.org/10.3390/rs14061454.
Der volle Inhalt der QuelleHayashi, Yoshiaki, Taichi Tebakari und Akihiro Hashimoto. „A Comparison Between Global Satellite Mapping of Precipitation Data and High-Resolution Radar Data – A Case Study of Localized Torrential Rainfall over Japan“. Journal of Disaster Research 16, Nr. 4 (01.06.2021): 786–93. http://dx.doi.org/10.20965/jdr.2021.p0786.
Der volle Inhalt der QuelleLee, Yoonjin, Christian D. Kummerow und Milija Zupanski. „Latent heating profiles from GOES-16 and its impacts on precipitation forecasts“. Atmospheric Measurement Techniques 15, Nr. 23 (12.12.2022): 7119–36. http://dx.doi.org/10.5194/amt-15-7119-2022.
Der volle Inhalt der QuelleMityagina, M. I. „Intensity of convective motions in marine atmospheric boundary layer retrieved from ocean surface radar imagery“. Nonlinear Processes in Geophysics 13, Nr. 3 (24.07.2006): 303–8. http://dx.doi.org/10.5194/npg-13-303-2006.
Der volle Inhalt der QuelleDissertationen zum Thema "Radar imageur"
Schreiber, Floriane. „Estimation des conditions océanographiques par inversion de données issues d'un radar imageur non calibré“. Electronic Thesis or Diss., Toulon, 2020. http://www.theses.fr/2020TOUL0016.
Der volle Inhalt der QuelleMany empirical models describing sea clutter statistical distribution exist but they do not directly depend on the sea sate. They are not suitable to perform inversion. To model the statistical distribution of the backscattered intensity, we use a two-scale model (TSM) which is linked to the sea state via the mss (mean square slope). This model allows to retrieve the NRCS but does not perfectly describes the sea clutter distribution simultaneously in the two direct polarization channels. This is due to an overestimation of the Bragg polarization ratio (PR)
Benahmed, Daho Omar. „Radar ULB pour la vision à travers les murs : mise au point d'une chaîne de traitement de l'information d'un radar imageur“. Thesis, La Rochelle, 2014. http://www.theses.fr/2014LAROS036/document.
Der volle Inhalt der QuelleThis report is focused on Through-the-wall surveillance (TTS) using UWB radar, with the objective of developing a complete information processing pipeline (IPP) which can be used by different types of imaging radar. To do this, we want to take into account any a priori information, nor on the target, or their environmental context. In addition, the IPP must meet criteria of adaptability and modularity to process information from two types of radar, including pulsed and FMCW developed in two projects that are part of the work of this thesis. Radar imaging is an important point in this context ; we approach it by combining backprojection and trilateration algorithms and show the improvement with the use of a CFAR detector taking into account the shape of the targets signatures.The development of the IPP is our main contribution. The flow of radar images obtained is divided into two parts. The first dynamic sequence contains moving targets are tracked by a multiple hypothesis approach. The second static sequence contains stationary targets and interior walls that are highlighted by Radon transformbases approach. We developed a simulator operating in time and frequency domain to design the algorithms of the IPP and test their robustness. Several simulated scenarios and experimental measurements show that our IPP is relevant and robust. It is thus validated for both radar systems
Cattin, Viviane. „Traitement et exploitation des signaux issus d'un imageur électromagnétique“. Grenoble INPG, 1998. http://www.theses.fr/1998INPG0128.
Der volle Inhalt der QuelleBeaudoin, André. „Observation de la terre par radar imageur : estimation de la biomasse forestière : [thèse soutenue sur un ensemble de travaux]“. Toulouse 3, 1992. http://www.theses.fr/1992TOU30244.
Der volle Inhalt der QuelleDellinger, Flora. „Descripteurs locaux pour l'imagerie radar et applications“. Thesis, Paris, ENST, 2014. http://www.theses.fr/2014ENST0037/document.
Der volle Inhalt der QuelleWe study here the interest of local features for optical and SAR images. These features, because of their invariances and their dense representation, offer a real interest for the comparison of satellite images acquired under different conditions. While it is easy to apply them to optical images, they offer limited performances on SAR images, because of their multiplicative noise. We propose here an original feature for the comparison of SAR images. This algorithm, called SAR-SIFT, relies on the same structure as the SIFT algorithm (detection of keypoints and extraction of features) and offers better performances for SAR images. To adapt these steps to multiplicative noise, we have developed a differential operator, the Gradient by Ratio, allowing to compute a magnitude and an orientation of the gradient robust to this type of noise. This operator allows us to modify the steps of the SIFT algorithm. We present also two applications for remote sensing based on local features. First, we estimate a global transformation between two SAR images with help of SAR-SIFT. The estimation is realized with help of a RANSAC algorithm and by using the matched keypoints as tie points. Finally, we have led a prospective study on the use of local features for change detection in remote sensing. The proposed method consists in comparing the densities of matched keypoints to the densities of detected keypoints, in order to point out changed areas
Dellinger, Flora. „Descripteurs locaux pour l'imagerie radar et applications“. Electronic Thesis or Diss., Paris, ENST, 2014. http://www.theses.fr/2014ENST0037.
Der volle Inhalt der QuelleWe study here the interest of local features for optical and SAR images. These features, because of their invariances and their dense representation, offer a real interest for the comparison of satellite images acquired under different conditions. While it is easy to apply them to optical images, they offer limited performances on SAR images, because of their multiplicative noise. We propose here an original feature for the comparison of SAR images. This algorithm, called SAR-SIFT, relies on the same structure as the SIFT algorithm (detection of keypoints and extraction of features) and offers better performances for SAR images. To adapt these steps to multiplicative noise, we have developed a differential operator, the Gradient by Ratio, allowing to compute a magnitude and an orientation of the gradient robust to this type of noise. This operator allows us to modify the steps of the SIFT algorithm. We present also two applications for remote sensing based on local features. First, we estimate a global transformation between two SAR images with help of SAR-SIFT. The estimation is realized with help of a RANSAC algorithm and by using the matched keypoints as tie points. Finally, we have led a prospective study on the use of local features for change detection in remote sensing. The proposed method consists in comparing the densities of matched keypoints to the densities of detected keypoints, in order to point out changed areas
Matarese, Joseph R. (Joseph Richard). „Topographic reconstruction from radar imagery“. Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/59857.
Der volle Inhalt der QuelleKim, Jungwhan John. „Road detection on radar imagery“. Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/53080.
Der volle Inhalt der QuelleMaster of Science
Reeves, Bryan Anthony. „Slope stability radar /“. [St. Lucia, Qld.], 2003. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17049.pdf.
Der volle Inhalt der QuelleYuzcelik, Cihangir Kemal. „Radar absorbing material design“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03sep%5FYuzcelik.pdf.
Der volle Inhalt der QuelleBücher zum Thema "Radar imageur"
1949-, Quegan Shaun, Hrsg. Understanding synthetic aperture radar images. Boston: Artech House, 1998.
Den vollen Inhalt der Quelle findenMun, Kok Leong. Stepped frequency imaging radar simulation. Monterey, Calif: Naval Postgraduate School, 2000.
Den vollen Inhalt der Quelle findenP, Ford J., und Jet Propulsion Laboratory (U.S.), Hrsg. Spaceborne radar observations: A guide for Magellan radar-image analysis. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1989.
Den vollen Inhalt der Quelle findenMatre, Henri, Hrsg. Processing of Synthetic Aperture Radar Images. London, UK: ISTE, 2008. http://dx.doi.org/10.1002/9780470611111.
Der volle Inhalt der QuelleHenri, Maître, Hrsg. Processing of synthetic aperture radar images. Hoboken, NJ, USA: Wiley, 2008.
Den vollen Inhalt der Quelle findenHenri, Maître, Hrsg. Processing of synthetic aperture radar images. Newport Beach, CA: ISTE, 2007.
Den vollen Inhalt der Quelle findenRihaczek, August W. Radar resolution and complex-image analysis. Boston: Artech House, 1996.
Den vollen Inhalt der Quelle findenNeva, Donovan, Evans Diane, Held D und Jet Propulsion Laboratory (U.S.), Hrsg. NASA/JPL Aircraft SAR Workshop proceedings: February 4-5, 1985, at the Jet Propulsion Laboratory, Pasadena, California. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1985.
Den vollen Inhalt der Quelle findenNeva, Donovan, Evans Diane, Held D und Jet Propulsion Laboratory (U.S.), Hrsg. NASA/JPL Aircraft SAR Workshop proceedings: February 4-5, 1985, at the Jet Propulsion Laboratory, Pasadena, California. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1985.
Den vollen Inhalt der Quelle findenEngineers, Institution of Electrical, Hrsg. Introduction to radar target recognition. London: Institution of Electrical Engineers, 2005.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Radar imageur"
Orhaug, Torleiv. „Radar Imagery“. In Inverse Methods in Electromagnetic Imaging, 823–39. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5271-3_8.
Der volle Inhalt der QuelleOrhaug, Torleiv. „Radar Imagery“. In Inverse Methods in Electromagnetic Imaging, 823–39. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-010-9444-3_47.
Der volle Inhalt der QuelleKnott, Eugene F. „Radar Imagery“. In Radar Cross Section Measurements, 385–429. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4684-9904-9_10.
Der volle Inhalt der QuelleRichards, John A. „Radar Image Interpretation“. In Remote Sensing with Imaging Radar, 265–308. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02020-9_8.
Der volle Inhalt der QuelleDrury, S. A. „Radar remote sensing“. In Image Interpretation in Geology, 165–94. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-010-9393-4_7.
Der volle Inhalt der QuelleSouyris, Jean-Claude. „The Physics of Radar Measurement“. In Remote Sensing Imagery, 83–122. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118899106.ch4.
Der volle Inhalt der QuelleTupin, Florence, Jean-Marie Nicolas und Jean-Claude Souyris. „Models and Processing of Radar Signals“. In Remote Sensing Imagery, 181–202. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118899106.ch7.
Der volle Inhalt der QuelleRichards, John A. „Correcting and Calibrating Radar Imagery“. In Remote Sensing with Imaging Radar, 109–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02020-9_4.
Der volle Inhalt der QuelleTrevett, J. W. „Image Processing“. In Imaging Radar for Resources Surveys, 63–77. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4089-5_4.
Der volle Inhalt der QuelleOvergård, Søren, und Erik Wienberg. „The Distribution of Weather Radar Images to Agricultural End Users“. In Weather Radar Networking, 545–56. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0551-1_59.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Radar imageur"
Dankert, Heiko, Jochen Horstmann und Wolfgang Rosenthal. „Detection of Extreme Waves in SAR Images and Radar-Image Sequences“. In ASME 2002 21st International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/omae2002-28160.
Der volle Inhalt der QuelleO'Connell, Barbara J. „Ice Hazard Radar“. In SNAME 9th International Conference and Exhibition on Performance of Ships and Structures in Ice. SNAME, 2010. http://dx.doi.org/10.5957/icetech-2010-179.
Der volle Inhalt der QuelleYoshikado, Shin, und Tadashi Aruga. „Investigation of Conceptual Synthetic Aperture Infrared Laser Radars“. In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/clr.1995.wa1.
Der volle Inhalt der QuelleRadhakrishnan, Gowtham, Bernt J. Leira, Zhen Gao, Svein Sævik und Konstantinos Christakos. „Retrieval of Ocean Wave Spectra From X-Band Marine Radar Images Using Inversion Schemes Based on Auto-Spectral Analysis“. In ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/omae2023-104877.
Der volle Inhalt der QuelleSteyn, J. M., und W. A. J. Nel. „Using image quality measures and features to choose good images for classification of ISAR imagery“. In 2014 International Radar Conference (Radar). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.7060244.
Der volle Inhalt der QuelleNaaijen, P., und A. P. Wijaya. „Phase Resolved Wave Prediction From Synthetic Radar Images“. In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-23470.
Der volle Inhalt der QuelleStory, W. Rob, Thomas C. Fu und Erin E. Hackett. „Radar Measurement of Ocean Waves“. In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-49895.
Der volle Inhalt der QuelleWijaya, A. P. „Towards Nonlinear Wave Reconstruction and Prediction From Synthetic Radar Images“. In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54496.
Der volle Inhalt der QuelleTajbakhsh, S., K. Ouchi und R. E. Burge. „Dependence of speckle statistics on backscatter cross-section fluctuations in SAR images of stationary homogeneous random rough surfaces“. In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.thu6.
Der volle Inhalt der QuelleHarvey, E., und G. April. „Speckle reduction in SAR imagery“. In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.thpo35.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Radar imageur"
Groeneveld, Davis und Williams. L51974 Automated Detection of Encroachment Events Using Satellite Remote Sensing. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), August 2002. http://dx.doi.org/10.55274/r0011300.
Der volle Inhalt der QuelleDoerry, Armin, und Douglas Bickel. Synthetic Aperture Radar Image Geolocation Using Fiducial Images. Office of Scientific and Technical Information (OSTI), Oktober 2022. http://dx.doi.org/10.2172/1890785.
Der volle Inhalt der QuelleWerle, D. Radar remote sensing for application in forestry: a literature review for investigators and potential users of SAR data in Canada. Natural Resources Canada/CMSS/Information Management, 1989. http://dx.doi.org/10.4095/329188.
Der volle Inhalt der QuelleDoerry, Armin, und Douglas Bickel. Radar Motion Measurements and Synthetic Aperture Radar Image Geolocation Accuracy. Office of Scientific and Technical Information (OSTI), Oktober 2020. http://dx.doi.org/10.2172/1675035.
Der volle Inhalt der QuelleDoerry, Armin Walter. Apodized RFI filtering of synthetic aperture radar images. Office of Scientific and Technical Information (OSTI), Februar 2014. http://dx.doi.org/10.2172/1204095.
Der volle Inhalt der QuelleDUDLEY, PETER A. Synthetic Aperture Radar Image Formation in Reconfigurable Logic. Office of Scientific and Technical Information (OSTI), Juni 2001. http://dx.doi.org/10.2172/782724.
Der volle Inhalt der QuelleRalston, James M., und Elizabeth L. Ayers. Antenna Effects on Polarimetric Imagery in Ultrawide Synthetic Aperture Radar. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada415541.
Der volle Inhalt der QuelleTeillet, P. M., G. Fedosejevs, D. Gauthier, M. D'Iorio, B. Rivard, P. Budkewitsch und B. Brisco. Initial Examination of Radar Imagery of Optical Radiometric Calibration Sites. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1995. http://dx.doi.org/10.4095/218130.
Der volle Inhalt der QuelleDELAURENTIS, JOHN M., und ARMIN W. DOERRY. Stereoscopic Height Estimation from Multiple Aspect Synthetic Aperture Radar Images. Office of Scientific and Technical Information (OSTI), August 2001. http://dx.doi.org/10.2172/786639.
Der volle Inhalt der QuelleDoerry, Armin Walter. Autofocus correction of excessive migration in synthetic aperture radar images. Office of Scientific and Technical Information (OSTI), September 2004. http://dx.doi.org/10.2172/919639.
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