Добірка наукової літератури з теми "Clouds Classification"
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Статті в журналах з теми "Clouds Classification"
Hutchison, Keith D., Barbara D. Iisager, Thomas J. Kopp, and John M. Jackson. "Distinguishing Aerosols from Clouds in Global, Multispectral Satellite Data with Automated Cloud Classification Algorithms." Journal of Atmospheric and Oceanic Technology 25, no. 4 (April 1, 2008): 501–18. http://dx.doi.org/10.1175/2007jtecha1004.1.
Повний текст джерелаUrbanek, Benedikt, Silke Groß, Andreas Schäfler, and Martin Wirth. "Determining stages of cirrus evolution: a cloud classification scheme." Atmospheric Measurement Techniques 10, no. 5 (May 3, 2017): 1653–64. http://dx.doi.org/10.5194/amt-10-1653-2017.
Повний текст джерелаWang, Y., M. Penning de Vries, P. H. Xie, S. Beirle, S. Dörner, J. Remmers, A. Li, and T. Wagner. "Cloud and aerosol classification for 2 1/2 years of MAX-DOAS observations in Wuxi (China) and comparison to independent data sets." Atmospheric Measurement Techniques Discussions 8, no. 5 (May 6, 2015): 4653–709. http://dx.doi.org/10.5194/amtd-8-4653-2015.
Повний текст джерелаMarchant, Benjamin, Steven Platnick, Kerry Meyer, G. Thomas Arnold, and Jérôme Riedi. "MODIS Collection 6 shortwave-derived cloud phase classification algorithm and comparisons with CALIOP." Atmospheric Measurement Techniques 9, no. 4 (April 11, 2016): 1587–99. http://dx.doi.org/10.5194/amt-9-1587-2016.
Повний текст джерелаMarchant, B., S. Platnick, K. Meyer, G. T. Arnold, and J. Riedi. "MODIS Collection 6 shortwave-derived cloud phase classification algorithm and comparisons with CALIOP." Atmospheric Measurement Techniques Discussions 8, no. 11 (November 16, 2015): 11893–924. http://dx.doi.org/10.5194/amtd-8-11893-2015.
Повний текст джерелаGryspeerdt, Edward, Johannes Quaas, Tom Goren, Daniel Klocke, and Matthias Brueck. "An automated cirrus classification." Atmospheric Chemistry and Physics 18, no. 9 (May 3, 2018): 6157–69. http://dx.doi.org/10.5194/acp-18-6157-2018.
Повний текст джерелаChen, Xidong, Liangyun Liu, Yuan Gao, Xiao Zhang, and Shuai Xie. "A Novel Classification Extension-Based Cloud Detection Method for Medium-Resolution Optical Images." Remote Sensing 12, no. 15 (July 23, 2020): 2365. http://dx.doi.org/10.3390/rs12152365.
Повний текст джерелаWang, Y., M. Penning de Vries, P. H. Xie, S. Beirle, S. Dörner, J. Remmers, A. Li, and T. Wagner. "Cloud and aerosol classification for 2.5 years of MAX-DOAS observations in Wuxi (China) and comparison to independent data sets." Atmospheric Measurement Techniques 8, no. 12 (December 10, 2015): 5133–56. http://dx.doi.org/10.5194/amt-8-5133-2015.
Повний текст джерелаWagner, T., S. Beirle, S. Dörner, U. Friess, J. Remmers, and R. Shaiganfar. "Cloud detection and classification based on MAX-DOAS observations." Atmospheric Measurement Techniques Discussions 6, no. 6 (December 3, 2013): 10297–360. http://dx.doi.org/10.5194/amtd-6-10297-2013.
Повний текст джерелаBehrangi, Ali, Terry Kubar, and Bjorn Lambrigtsen. "Phenomenological Description of Tropical Clouds Using CloudSat Cloud Classification." Monthly Weather Review 140, no. 10 (October 1, 2012): 3235–49. http://dx.doi.org/10.1175/mwr-d-11-00247.1.
Повний текст джерелаДисертації з теми "Clouds Classification"
Liao, Nilsson Sunny, and Martin Norrbom. "CLASSIFICATION OF BRIDGES IN LASER POINT CLOUDS USING MACHINE LEARNING." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-55067.
Повний текст джерелаKanngießer, Franz, André Ehrlich, and Manfred Wendisch. "Observations of glories above arctic boundary layer clouds to identify cloud phase." Universität Leipzig, 2017. https://ul.qucosa.de/id/qucosa%3A16743.
Повний текст джерелаDie Glorie ist eine optische Erscheinung, die über Flüssigwasserwolken beobachtet werden kann und aus farbigen Ringen um den Gegensonnenpunkt besteht. Da die Glorie durch Streuung an sphärischen Partikeln entsteht, kann sie zur Identifikation von Flüssigwasser am Wolkenoberrand genutzt werden. Bilder, die mit einer CANON Digitalkamera, die mit einem Fischaugenobjektiv ausgestattet war, von Bord des Forschungsflugzeugs Polar 5 während der Messkampagne RACEPAC aufgenommen worden, wurden auf das Auftreten von Glorien untersucht. Zur Identifikation wurde ein Algorithmus mit fünf Kriterien entwickelt, die mit Hilfe von Simulationen der streuwinkelabhängigen Radianz und einem Testdatensatz der Messungen erstellt wurden. Der Algorithmus wurde getestet und ist in der Lage zwischen Bildern mit und ohne Glorie zu unterscheiden.
Wiklander, Marcus. "Classification of tree species from 3D point clouds using convolutional neural networks." Thesis, Umeå universitet, Institutionen för fysik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-174662.
Повний текст джерелаKönig, Sören, and Stefan Gumhold. "Robust Surface Reconstruction from Point Clouds." Technische Universität Dresden, 2013. https://tud.qucosa.de/id/qucosa%3A27391.
Повний текст джерелаTruong, Quoc Hung. "Knowledge-based 3D point clouds processing." Phd thesis, Université de Bourgogne, 2013. http://tel.archives-ouvertes.fr/tel-00977434.
Повний текст джерелаGasslander, Maja. "Segmentation of Clouds in Satellite Images." Thesis, Linköpings universitet, Datorseende, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128802.
Повний текст джерелаRuhe, Jakob, and Johan Nordin. "Classification of Points Acquired by Airborne Laser Systems." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10485.
Повний текст джерелаDuring several years research has been performed at the Department of Laser Systems, the Swedish Defense Research Agency (FOI), to develop methods to produce high resolution 3D environment models based on data acquired with airborne laser systems. The 3D models are used for several purposes, both military and civilian applications, for example mission planning, crisis management analysis and planning of infrastructure.
We have implemented a new format to store laser point data. Instead of storing rasterized images of the data this new format stores the original location of each point. We have also implemented a new method to detect outliers, methods to estimate the ground surface and also to divide the remaining data into two classes: buildings and vegetation.
It is also shown that it is possible to get more accurate results by analyzing the points directly instead of only using rasterized images and image processing algorithms. We show that these methods can be implemented without increasing the computational complexity.
Ehrlich, André, Eike Bierwirth, and Manfred Wendisch. "Airborne remote sensing of Arctic boundary-layer mixed-phase clouds." Universität Leipzig, 2010. https://ul.qucosa.de/id/qucosa%3A16357.
Повний текст джерелаKoch, Dorothy, Yves Balkanski, Susanne E. Bauer, Richard C. Easter, Sylvaine Ferrachat, Steven J. Ghan, Corinna Hoose, et al. "Soot microphysical effects on liquid clouds, a multi-model investigation." Copernicus Publication, 2011. https://ul.qucosa.de/id/qucosa%3A13767.
Повний текст джерелаCremer, Roxana, Johannes Quaas, and Johannes Mülmenstädt. "Interactions between clouds and sea ice in the Arctic." Universität Leipzig, 2017. https://ul.qucosa.de/id/qucosa%3A16773.
Повний текст джерелаDas Wolken–Albedo–Feedback in der Arktis gewann in den letzten Jahren immer mehr an Bedeutung aufgrund des Rückganges der Meereisfläche. Vorhergehende Arbeiten zeigten die Bildung von tiefer Bewölkung über kürzlich aufgebrochenen Meereisstellen. Diese tiefen Wolken sind sehr wichtig für das arktische Energiebudget, wegen des Erwärmens der Oberfläche. Daraus folgt ein Anstieg in der bodennahen Temperatur und ein verstärkter Rückgang des Meereises. Um den Einfluss der Meereiskonzentration auf die Wolkenbildung zu untersuchen, werden in dieser Arbeit Satellitendaten von DARDAR mit den beiden globalen Klimareanalysen Era–interim und MACC verglichen. Analysiert werden Daten aus den Jahren 2007 bis 2010 und für verschiedene Oberflächenbedingungen werden Korrelationen der einzelnen Datensätze erstellt. Es hat sich gezeigt, dass die Darstellung der Wolkenbedeckung in der Arktis durch die Reanalyse Daten nicht geeignet ist. Aus diesem Grund wurden keine signifikanten Korrelationen in der Zeitspanne von 2007 bis 2010 gefunden.
Книги з теми "Clouds Classification"
Welch, Ronald M. The effects of cloud inhomogeneities upon radiative fluxes, and the supply of a cloud truth validation dataset: Semi-annual progress report, period: January-June 1996. [Washington, DC: National Aeronautics and Space Administration, 1996.
Знайти повний текст джерелаCollins, Michael B. Clovis blade technology: A comparative study of the Keven Davis Cache, Texas. Austin: University of Texas Press, 1999.
Знайти повний текст джерелаHaynes, Gary. The early settlement of North America: The Clovis era. New York: Cambridge University Press, 2002.
Знайти повний текст джерелаThelin, Marta, and Julienne Maheux. Clouds: Classification, Microbiology and Environmental Effects. Nova Science Publishers, Incorporated, 2013.
Знайти повний текст джерелаCloud classsification from satellite data using a fuzzy sets algorithm: A polar example. [Washington, DC: National Aeronautics and Space Administration, 1989.
Знайти повний текст джерелаM, Welch Ronald, and United States. National Aeronautics and Space Administration., eds. Global single and multiple cloud classification with a fuzzy logic expert system. [Washington, DC: National Aeronautics and Space Administration, 1996.
Знайти повний текст джерелаProfessor, Baby. Classification of Clouds Atmosphere, Weather and Climate Grade 5 Children's Science Education Books. Speedy Publishing LLC, 2021.
Знайти повний текст джерелаProfessor, Baby. Classification of Clouds Atmosphere, Weather and Climate Grade 5 Children's Science Education Books. Speedy Publishing LLC, 2021.
Знайти повний текст джерелаSeries, Michigan Historical Reprint. Storms: Their nature, classification and laws. With the means of predicting them by their embodiments the clouds. Scholarly Publishing Office, University of Michigan Library, 2005.
Знайти повний текст джерелаUnited States. National Aeronautics and Space Administration., ed. TRMM final report for the first three years of NASA grant NAG5-1586: TRMM-related research tropical rainfall and energy analysis experiment. [Washington, DC: National Aeronautics and Space Administration, 1994.
Знайти повний текст джерелаЧастини книг з теми "Clouds Classification"
Rangno, Arthur L. "The Classification of Clouds." In Handbook of Weather, Climate, and Water, 387–405. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/0471721603.ch21.
Повний текст джерелаBriskilal, J., and C. N. Subalalitha. "Classification of Idiomatic Sentences Using AWD-LSTM." In Expert Clouds and Applications, 113–24. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2126-0_11.
Повний текст джерелаDhulavvagol, Praveen M., S. G. Totad, Ashwin Shirodkar, Amulya Hiremath, Apoorva Bansode, and J. Divya. "Performance Analysis of Classification Algorithm Using Stacking and Ensemble Techniques." In Expert Clouds and Applications, 615–29. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2500-9_46.
Повний текст джерелаCalisse, P., G. Dall’Oglio, M. T. Di Bari, A. Iacoangeli, L. Martinis, P. Merluzzi, L. Piccirillo, L. Pizzo, L. Rossi, and C. Santillo. "MM Observations of the Magellanic Clouds from Antarctica." In Morphological and Physical Classification of Galaxies, 449–50. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2522-2_64.
Повний текст джерелаMangla, Aditya, J. Briskilal, and D. Senthil Kumar. "Image Classification of Indian Rural Development Projects Using Transfer Learning and CNN." In Expert Clouds and Applications, 17–29. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2500-9_2.
Повний текст джерелаLaube, Pascal. "Classification of Geometric Primitives in Point Clouds." In Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces, 97–120. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-29017-7_4.
Повний текст джерелаKishore Kumar, K., and H. Venkateswerareddy. "A Detailed Survey on Deep Learning Techniques for Real-Time Image Classification, Recognition and Analysis." In Expert Clouds and Applications, 349–60. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2126-0_30.
Повний текст джерелаPrabha, P. Lakshmi, A. K. Jayanthy, and Kumar Janardanan. "M-mode Carotid Artery Image Classification and Risk Analysis Based on Machine Learning and Deep Learning Techniques." In Expert Clouds and Applications, 675–89. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2500-9_50.
Повний текст джерелаWaldhauser, Christoph, Ronald Hochreiter, Johannes Otepka, Norbert Pfeifer, Sajid Ghuffar, Karolina Korzeniowska, and Gerald Wagner. "Automated Classification of Airborne Laser Scanning Point Clouds." In Solving Computationally Expensive Engineering Problems, 269–92. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08985-0_12.
Повний текст джерелаCholewa, Michał, and Przemysław Sporysz. "Classification of Dynamic Sequences of 3D Point Clouds." In Artificial Intelligence and Soft Computing, 672–83. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07173-2_57.
Повний текст джерелаТези доповідей конференцій з теми "Clouds Classification"
Ekhtari, Nima, Craig Glennie, and Juan Carlos Fernandez-Diaz. "Classification of multispectral lidar point clouds." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127568.
Повний текст джерелаLi, Yingfei, and Huimin Lu. "3D object classification from point clouds." In Seventh International Symposium on Artificial Intelligence and Robotics 2022, edited by Huimin Lu, Jintong Cai, and Yuchao Zheng. SPIE, 2022. http://dx.doi.org/10.1117/12.2658785.
Повний текст джерелаParalic, Martin. "Statistical Approach for Sky Clouds Density Classification." In 2020 New Trends in Signal Processing (NTSP). IEEE, 2020. http://dx.doi.org/10.1109/ntsp49686.2020.9229538.
Повний текст джерелаStojanovic, Vladeta, Matthias Trapp, Jürgen Döllner, and Rico Richter. "Classification of Indoor Point Clouds Using Multiviews." In Web3D '19: The 24th International Conference on 3D Web Technology. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3329714.3338129.
Повний текст джерелаHaurum, Joakim, Moaaz Allahham, Mathias Lynge, Kasper Henriksen, Ivan Nikolov, and Thomas Moeslund. "Sewer Defect Classification using Synthetic Point Clouds." In 16th International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010207908910900.
Повний текст джерелаXiao, Xian, Changsheng Xu, and Jinqiao Wang. "Landmark image classification using 3D point clouds." In the international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1873951.1874061.
Повний текст джерелаMedina, F. Patricia, and Randy Paffenroth. "Classification frameworks comparison on 3D point clouds." In 2021 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2021. http://dx.doi.org/10.1109/hpec49654.2021.9622842.
Повний текст джерелаWang, Zhichao, and David Rosen. "Manufacturing Process Classification Based on Distance Rotationally Invariant Convolutions." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89307.
Повний текст джерелаKishimoto, Tomoe, Masahiro Morinaga, Masahiko Saito, and Junichi Tanaka. "Application of transfer learning to event classification in collider physics." In International Symposium on Grids & Clouds 2022. Trieste, Italy: Sissa Medialab, 2022. http://dx.doi.org/10.22323/1.415.0016.
Повний текст джерелаAldeeb, Nader H., and Olaf Hellwich. "Detection and Classification of Holes in Point Clouds." In International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006296503210330.
Повний текст джерелаЗвіти організацій з теми "Clouds Classification"
Berney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman, and John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40401.
Повний текст джерелаFlynn, Donna, Yan Shi, K.-S. Lim, and Laura Riihimaki. Cloud Type Classification (cldtype) Value-Added Product. Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1377405.
Повний текст джерелаMoyer, Elisabeth, Ian Foster, James Franke, Rob Jacob, Rebecca Willett, and Takuya Kuihana. New Understanding of Cloud Processes via Unsupervised Cloud Classification in Satellite Images. Office of Scientific and Technical Information (OSTI), April 2021. http://dx.doi.org/10.2172/1769754.
Повний текст джерелаHawkins, Rupert S., K. F. Heideman, and Ira G. Smotroff. Cloud Data Set for Neural Network Classification Studies. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada256181.
Повний текст джерелаWood, Norman. Data product development for cold cloud and precipitation process analysis/Snow regime classifications from the NSA snow product. Office of Scientific and Technical Information (OSTI), November 2020. http://dx.doi.org/10.2172/1725814.
Повний текст джерелаNechypurenko, Pavlo, Tetiana Selivanova, and Maryna Chernova. Using the Cloud-Oriented Virtual Chemical Laboratory VLab in Teaching the Solution of Experimental Problems in Chemistry of 9th Grade Students. [б. в.], June 2019. http://dx.doi.org/10.31812/123456789/3175.
Повний текст джерелаKiianovska, N. M. The development of theory and methods of using cloud-based information and communication technologies in teaching mathematics of engineering students in the United States. Видавничий центр ДВНЗ «Криворізький національний університет», December 2014. http://dx.doi.org/10.31812/0564/1094.
Повний текст джерелаOr, Etti, David Galbraith, and Anne Fennell. Exploring mechanisms involved in grape bud dormancy: Large-scale analysis of expression reprogramming following controlled dormancy induction and dormancy release. United States Department of Agriculture, December 2002. http://dx.doi.org/10.32747/2002.7587232.bard.
Повний текст джерелаLers, Amnon, E. Lomaniec, S. Burd, A. Khalchitski, L. Canetti, and Pamela J. Green. Analysis of Senescence Inducible Ribonuclease in Tomato: Gene Regulation and Function. United States Department of Agriculture, February 2000. http://dx.doi.org/10.32747/2000.7570563.bard.
Повний текст джерела