Gotowa bibliografia na temat „Radar imageur”
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Artykuły w czasopismach na temat "Radar imageur"
Montopoli, M., G. Vulpiani, D. Cimini, E. Picciotti i 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.
Pełny tekst źródłaGuyot, Adrien, Jordan P. Brook, Alain Protat, Kathryn Turner, Joshua Soderholm, Nicholas F. McCarthy i 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.
Pełny tekst źródłaGogineni, S., J. B. Yan, J. Paden, C. Leuschen, J. Li, F. Rodriguez-Morales, D. Braaten i in. "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.
Pełny tekst źródłaFrame, D. J., B. N. Lawrence, G. J. Fraser i 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.
Pełny tekst źródłaHasebe, F., T. Tsuda, T. Nakamura i 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.
Pełny tekst źródłaPetracca, M., L. P. D’Adderio, F. Porcù, G. Vulpiani, S. Sebastianelli i S. Puca. "Validation of GPM Dual-Frequency Precipitation Radar (DPR) Rainfall Products over Italy". Journal of Hydrometeorology 19, nr 5 (1.05.2018): 907–25. http://dx.doi.org/10.1175/jhm-d-17-0144.1.
Pełny tekst źródłaJiang, Chong, Lin Ren, Jingsong Yang, Qing Xu i 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.
Pełny tekst źródłaHayashi, Yoshiaki, Taichi Tebakari i 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 (1.06.2021): 786–93. http://dx.doi.org/10.20965/jdr.2021.p0786.
Pełny tekst źródłaLee, Yoonjin, Christian D. Kummerow i 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.
Pełny tekst źródłaMityagina, 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.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaMany 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.
Pełny tekst źródłaThis 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.
Pełny tekst źródłaBeaudoin, 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.
Pełny tekst źródłaDellinger, Flora. "Descripteurs locaux pour l'imagerie radar et applications". Thesis, Paris, ENST, 2014. http://www.theses.fr/2014ENST0037/document.
Pełny tekst źródłaWe 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.
Pełny tekst źródłaWe 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.
Pełny tekst źródłaKim, Jungwhan John. "Road detection on radar imagery". Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/53080.
Pełny tekst źródłaMaster of Science
Reeves, Bryan Anthony. "Slope stability radar /". [St. Lucia, Qld.], 2003. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17049.pdf.
Pełny tekst źródłaYuzcelik, 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.
Pełny tekst źródłaKsiążki na temat "Radar imageur"
1949-, Quegan Shaun, red. Understanding synthetic aperture radar images. Boston: Artech House, 1998.
Znajdź pełny tekst źródłaMun, Kok Leong. Stepped frequency imaging radar simulation. Monterey, Calif: Naval Postgraduate School, 2000.
Znajdź pełny tekst źródłaP, Ford J., i Jet Propulsion Laboratory (U.S.), red. 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.
Znajdź pełny tekst źródłaMatre, Henri, red. Processing of Synthetic Aperture Radar Images. London, UK: ISTE, 2008. http://dx.doi.org/10.1002/9780470611111.
Pełny tekst źródłaHenri, Maître, red. Processing of synthetic aperture radar images. Hoboken, NJ, USA: Wiley, 2008.
Znajdź pełny tekst źródłaHenri, Maître, red. Processing of synthetic aperture radar images. Newport Beach, CA: ISTE, 2007.
Znajdź pełny tekst źródłaRihaczek, August W. Radar resolution and complex-image analysis. Boston: Artech House, 1996.
Znajdź pełny tekst źródłaNeva, Donovan, Evans Diane, Held D i Jet Propulsion Laboratory (U.S.), red. 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.
Znajdź pełny tekst źródłaNeva, Donovan, Evans Diane, Held D i Jet Propulsion Laboratory (U.S.), red. 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.
Znajdź pełny tekst źródłaEngineers, Institution of Electrical, red. Introduction to radar target recognition. London: Institution of Electrical Engineers, 2005.
Znajdź pełny tekst źródłaCzęści książek na temat "Radar imageur"
Orhaug, Torleiv. "Radar Imagery". W Inverse Methods in Electromagnetic Imaging, 823–39. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5271-3_8.
Pełny tekst źródłaOrhaug, Torleiv. "Radar Imagery". W Inverse Methods in Electromagnetic Imaging, 823–39. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-010-9444-3_47.
Pełny tekst źródłaKnott, Eugene F. "Radar Imagery". W Radar Cross Section Measurements, 385–429. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4684-9904-9_10.
Pełny tekst źródłaRichards, John A. "Radar Image Interpretation". W 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.
Pełny tekst źródłaDrury, S. A. "Radar remote sensing". W Image Interpretation in Geology, 165–94. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-010-9393-4_7.
Pełny tekst źródłaSouyris, Jean-Claude. "The Physics of Radar Measurement". W Remote Sensing Imagery, 83–122. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118899106.ch4.
Pełny tekst źródłaTupin, Florence, Jean-Marie Nicolas i Jean-Claude Souyris. "Models and Processing of Radar Signals". W Remote Sensing Imagery, 181–202. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118899106.ch7.
Pełny tekst źródłaRichards, John A. "Correcting and Calibrating Radar Imagery". W 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.
Pełny tekst źródłaTrevett, J. W. "Image Processing". W Imaging Radar for Resources Surveys, 63–77. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4089-5_4.
Pełny tekst źródłaOvergård, Søren, i Erik Wienberg. "The Distribution of Weather Radar Images to Agricultural End Users". W Weather Radar Networking, 545–56. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0551-1_59.
Pełny tekst źródłaStreszczenia konferencji na temat "Radar imageur"
Dankert, Heiko, Jochen Horstmann i Wolfgang Rosenthal. "Detection of Extreme Waves in SAR Images and Radar-Image Sequences". W ASME 2002 21st International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/omae2002-28160.
Pełny tekst źródłaO'Connell, Barbara J. "Ice Hazard Radar". W 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.
Pełny tekst źródłaYoshikado, Shin, i Tadashi Aruga. "Investigation of Conceptual Synthetic Aperture Infrared Laser Radars". W Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/clr.1995.wa1.
Pełny tekst źródłaRadhakrishnan, Gowtham, Bernt J. Leira, Zhen Gao, Svein Sævik i Konstantinos Christakos. "Retrieval of Ocean Wave Spectra From X-Band Marine Radar Images Using Inversion Schemes Based on Auto-Spectral Analysis". W 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.
Pełny tekst źródłaSteyn, J. M., i W. A. J. Nel. "Using image quality measures and features to choose good images for classification of ISAR imagery". W 2014 International Radar Conference (Radar). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.7060244.
Pełny tekst źródłaNaaijen, P., i A. P. Wijaya. "Phase Resolved Wave Prediction From Synthetic Radar Images". W 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.
Pełny tekst źródłaStory, W. Rob, Thomas C. Fu i Erin E. Hackett. "Radar Measurement of Ocean Waves". W ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-49895.
Pełny tekst źródłaWijaya, A. P. "Towards Nonlinear Wave Reconstruction and Prediction From Synthetic Radar Images". W 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.
Pełny tekst źródłaTajbakhsh, S., K. Ouchi i R. E. Burge. "Dependence of speckle statistics on backscatter cross-section fluctuations in SAR images of stationary homogeneous random rough surfaces". W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.thu6.
Pełny tekst źródłaHarvey, E., i G. April. "Speckle reduction in SAR imagery". W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.thpo35.
Pełny tekst źródłaRaporty organizacyjne na temat "Radar imageur"
Groeneveld, Davis i Williams. L51974 Automated Detection of Encroachment Events Using Satellite Remote Sensing. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), sierpień 2002. http://dx.doi.org/10.55274/r0011300.
Pełny tekst źródłaDoerry, Armin, i Douglas Bickel. Synthetic Aperture Radar Image Geolocation Using Fiducial Images. Office of Scientific and Technical Information (OSTI), październik 2022. http://dx.doi.org/10.2172/1890785.
Pełny tekst źródłaWerle, 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.
Pełny tekst źródłaDoerry, Armin, i Douglas Bickel. Radar Motion Measurements and Synthetic Aperture Radar Image Geolocation Accuracy. Office of Scientific and Technical Information (OSTI), październik 2020. http://dx.doi.org/10.2172/1675035.
Pełny tekst źródłaDoerry, Armin Walter. Apodized RFI filtering of synthetic aperture radar images. Office of Scientific and Technical Information (OSTI), luty 2014. http://dx.doi.org/10.2172/1204095.
Pełny tekst źródłaDUDLEY, PETER A. Synthetic Aperture Radar Image Formation in Reconfigurable Logic. Office of Scientific and Technical Information (OSTI), czerwiec 2001. http://dx.doi.org/10.2172/782724.
Pełny tekst źródłaRalston, James M., i Elizabeth L. Ayers. Antenna Effects on Polarimetric Imagery in Ultrawide Synthetic Aperture Radar. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 2002. http://dx.doi.org/10.21236/ada415541.
Pełny tekst źródłaTeillet, P. M., G. Fedosejevs, D. Gauthier, M. D'Iorio, B. Rivard, P. Budkewitsch i 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.
Pełny tekst źródłaDELAURENTIS, JOHN M., i ARMIN W. DOERRY. Stereoscopic Height Estimation from Multiple Aspect Synthetic Aperture Radar Images. Office of Scientific and Technical Information (OSTI), sierpień 2001. http://dx.doi.org/10.2172/786639.
Pełny tekst źródłaDoerry, Armin Walter. Autofocus correction of excessive migration in synthetic aperture radar images. Office of Scientific and Technical Information (OSTI), wrzesień 2004. http://dx.doi.org/10.2172/919639.
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