Literatura académica sobre el tema "Multi-temporal Analysi"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Multi-temporal Analysi".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Multi-temporal Analysi"
Ronchi, Bruno, Andrea Amici, Carlo Maía Rossi, Riccardo Primi, Rita Biasi y María Nicolina Ripa. "Multi-temporal analysis of urban and periurban land use changes in medieval towns of central Italy". Hábitat y Sociedad, n.º 7 (2014): 77–92. http://dx.doi.org/10.12795/habitatysociedad.2013.i6.05.
Texto completoGarcía Culqui, Cristina Lourdes y Michael Xavier Hachi Pazmiño. "Análisis multitemporal de la dinámica de uso de suelo y cobertura vegetal en la microcuenca del Río Illangama". Revista de Investigación Talentos 9, n.º 2 (1 de julio de 2022): 101–16. http://dx.doi.org/10.33789/talentos.9.2.173.
Texto completoZhao, Ling, Hanhan Deng, Linyao Qiu, Sumin Li, Zhixiang Hou, Hai Sun y Yun Chen. "Urban Multi-Source Spatio-Temporal Data Analysis Aware Knowledge Graph Embedding". Symmetry 12, n.º 2 (1 de febrero de 2020): 199. http://dx.doi.org/10.3390/sym12020199.
Texto completoMeixner, P. y M. Eckstein. "MULTI-TEMPORAL ANALYSIS OF WWII RECONNAISSANCE PHOTOS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (24 de junio de 2016): 973–78. http://dx.doi.org/10.5194/isprs-archives-xli-b8-973-2016.
Texto completoMeixner, P. y M. Eckstein. "MULTI-TEMPORAL ANALYSIS OF WWII RECONNAISSANCE PHOTOS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (24 de junio de 2016): 973–78. http://dx.doi.org/10.5194/isprsarchives-xli-b8-973-2016.
Texto completoRybakov, V. V. "Multi-Agent Temporal Nontransitive Linear Logics and the Admissibility Problem". Algebra and Logic 59, n.º 1 (marzo de 2020): 87–100. http://dx.doi.org/10.1007/s10469-020-09581-0.
Texto completoKIRIMOTO, Kensuke y Shigeru NISHIO. "Multi-Dimensional Analysis of Spatio-Temporal Correlation Information". Transaction of the Visualization Society of Japan 29, n.º 11 (2009): 67–75. http://dx.doi.org/10.3154/tvsj.29.67.
Texto completoNocerino, E., F. Menna y F. Menna. "MULTI-TEMPORAL ANALYSIS OF LANDSCAPES AND URBAN AREAS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX-B4 (27 de julio de 2012): 85–90. http://dx.doi.org/10.5194/isprsarchives-xxxix-b4-85-2012.
Texto completoAlessandretti, Laura, Piotr Sapiezynski, Sune Lehmann y Andrea Baronchelli. "Multi-scale spatio-temporal analysis of human mobility". PLOS ONE 12, n.º 2 (15 de febrero de 2017): e0171686. http://dx.doi.org/10.1371/journal.pone.0171686.
Texto completoLin, Yi-Chun, Jinyuan Shao, Sang-Yeop Shin, Zainab Saka, Mina Joseph, Raja Manish, Songlin Fei y Ayman Habib. "Comparative Analysis of Multi-Platform, Multi-Resolution, Multi-Temporal LiDAR Data for Forest Inventory". Remote Sensing 14, n.º 3 (29 de enero de 2022): 649. http://dx.doi.org/10.3390/rs14030649.
Texto completoTesis sobre el tema "Multi-temporal Analysi"
Saha, Sudipan. "Advanced deep learning based multi-temporal remote sensing image analysis". Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/263814.
Texto completoMartorell, Domínguez Agustín. "Modelling tonal context dynamics by temporal multi-scale analysis". Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/123810.
Texto completoEsta tesis analiza la naturaleza ambigua, multidimensional y temporal de la tonalidad. El método propuesto parte de la conexión entre espacios tonales y descripciones en tiempo y escala temporal. Esta representación conjunta pone de manifiesto la relación entre las jerarquías espaciales y temporales de la tonalidad. Utilizando un modelo simple de inducción tonal, se propone un método de exploración visual del contexto tonal en obras musicales. Dos estudios perceptuales son abordados desde el entorno descriptivo propuesto. En el primer estudio, se pone en evidencia el impacto de la escala temporal como parámetro de un modelo simple de inducción tonal, y se analizan los artificios matemáticos introducidos por evaluaciones en espacios escalados dimensionalmente. En el segundo estudio se propone un modelo de inestabilidad contextual, y se analiza en relación al modelado de la tensión tonal. El método de análisis se generaliza, a través de una categorización contextual en set-classes.
D'AMATO, VINCENZO STEFANO. "Deep Multi Temporal Scale Networks for Human Motion Analysis". Doctoral thesis, Università degli studi di Genova, 2023. https://hdl.handle.net/11567/1104759.
Texto completoSaha, Sudipan. "Advanced deep learning based multi-temporal remote sensing image analysis". Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/263814.
Texto completoBoynton, Ansel John. "EARLY WILDFIRE DETECTION USING TEMPORAL FILTERING AND MULTI-BAND INFRARED ANALYSIS". DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/1048.
Texto completoPantaleoni, Eva. "Assessing Coastal Plain Wetland Composition using Advanced Spaceborne Thermal Emission and Reflection Radiometer Imagery". Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28419.
Texto completoPh. D.
Yamaguchi, Yasushi y Megumi Maruyama. "ANALYSIS OF DEFORESTATION IN MATO GROSSO USING MULTI-TEMPORAL LANDSAT TM IMAGERIES". IEEE, 2010. http://hdl.handle.net/2237/14448.
Texto completoOrstavik, Odd-Halvdan Sakse. "Analysis of chaotic multi-variate time-series from spatio-temporal dynamical systems". Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314071.
Texto completoMARZI, DAVID. "Analysis of multi-temporal spaceborne Earth observation data to map selected land cover classes". Doctoral thesis, Università degli studi di Pavia, 2023. https://hdl.handle.net/11571/1470898.
Texto completoNowadays, the need for reliable, timely, high-resolution land cover maps is more than urgent if large-scale environmental problems are to be tackled effectively. Many different contexts would in fact benefit from such products, such as climate change, desertification, arctic greening, deforestation, urbanization, soil erosion, forest monitoring, conservation of biodiversity, urban area management, water resources management, agriculture, food security and many others. Due to the fact that the involved variables tend to change very rapidly in time and space, the availability of frequent and good quality global land cover products raises great interest. Several regional/global thematic and land cover maps have been delivered and other are expected, but they often do not meet the specific requirements of various applications; this is mainly due to the fact that all the existing products have been generated from different satellite sensors (optical, radar or both), different sampling strategies, different types of mapped land cover types, different validation protocols, etc. Moreover, the spatial and/or temporal resolution of these products is often insufficient for some applications. In this thesis work, we investigated how to leverage multitemporal optical and SAR data to characterize a very small set of classes rather than a full range of land cover types. Our work focuses on vegetation (including tree species, grasslands, shrublands and others), water bodies (including lakes, seas, rivers and others) and organic croplands (specifically, organic farming practices). Regarding vegetation, the technical literature offers numerous well-established methodologies aimed at mapping vegetated land covers. On the contrary, approaches that use SAR sensors as the main source of data are definitely more scarce. For this reason, part of this thesis work will be devoted to analyze the potential of multitemporal SAR data to characterize several types of natural vegetation. Regarding mapping of water bodies, the scientific literature provides several solutions based on optical and SAR data. However, almost all the analyzed methodologies have some limitations, mainly related to lack of automatism, impossibility to use the proposed method in other regions of interest, relatively low spatial resolution and others. Given the climate change community's need for timely information on the status of water bodies at the global level regardless of weather conditions, in this thesis a methodology aimed at mapping water bodies using sequences of SAR data, that is able to overcome the most severe limitations of the existing methodologies, is proposed. Finally, to characterize organic farmland, several aspects must be detected and monitored, including weed-killer operations, fertilization activities and tillage techniques. To do so, both multitemporal optical and SAR data are exploited to build small detection blocks, that will be part of a more complex organic farming monitoring system aimed at improving transparency and traceability within the organic food supply chain. In general, results showed that SAR and multispectral time series can be successfully employed to classify these land cover types.
Day, Ryan David. "A Framework for Simulating and Analyzing Multi-UAV Persistent Search and Retrieval with Stochastic Target Appearance". BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/9222.
Texto completoLibros sobre el tema "Multi-temporal Analysi"
International Workshop on the Analysis of Multi-temporal Remote Sensing Images (2007 Leuven, Belgium). 2007 International Workshop on the Analysis of Multi-Temporal Remote Sensing Images: Leuven, Belgium, 18 - 20 July 2007. Piscataway, NJ: IEEE, 2007.
Buscar texto completoInternational Workshop on the Analysis of Multi-temporal Remote Sensing Images (3rd 2005 Biloxi, Miss.). Proceedings of the Third International Workshop on the Analysis of Multi-temporal Remote Sensing Images: Multi Temp 2005, 16-18 May 2005, Beau Rivage Resort and Casino, Biloxi, Mississippi USA. Editado por King Roger L, Younan Nicolas H y Institute of Electrical and Electronics Engineers. Piscataway, N.J: IEEE, 2005.
Buscar texto completoLorenzo, Bruzzone y Smits Paul, eds. Proceedings of the First International Workshop on the Analysis of Multi-temporal Remote Sensing Images: University of Trento, Italy, 13-14 September 2001. River Edge, N.J: World Scientific, 2002.
Buscar texto completoInternational, Workshop on the Analysis of Multi-Temporal Remote Sensing Images (2nd 2003 Ispra Italy). Proceedings of the Second International Workshop on the Analysis of Multi-Temporal Remote Sensing Images: Multitemp 2003, Joint Research Centre, Ispra, Italy, 16-18 July 2003. [River Edge] N.J: World Scientific, 2004.
Buscar texto completoProceedings of the Second International Workshop on the Analysis of Multi-Temporal Remote Sensing Images: Multitemp 2003, Joint Research Centre, Ispra, Italy, 16-18 July 2003. Singapore: World Scientific, 2005.
Buscar texto completoUS GOVERNMENT. Proceedings of the Third International Workshop on the Analysis of Multi-Temporal Remote Sensing Images: Multi Temp 2005, 16-18 May 2005, Beau Rivage. Institute of Electrical & Electronics Enginee, 2005.
Buscar texto completo(Editor), Lorenzo Bruzzone y Paul C. Smits (Editor), eds. Analysis of Multi-Temporal Remote Sensing Images: Proceedings of Multitemp 2001 University of Trento, Italy 13-14 September 2001 (Remote Sensing). World Scientific Publishing Company, 2002.
Buscar texto completo(Editor), Paul C. Smits y Lorenzo Bruzzone (Editor), eds. Analysis Of Multi-Temporal Remote Sensing Images: Proceedings Of The Second International Workshop on the Joint Research Centre Ispra, Italy 16-18 July 2003. World Scientific Publishing Company, 2004.
Buscar texto completoBarham, Jeremy, ed. Rethinking Mahler. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199316090.001.0001.
Texto completoCapítulos de libros sobre el tema "Multi-temporal Analysi"
Conrad, Christian y Rudolf Mester. "Learning Multi-view Correspondences via Subspace-Based Temporal Coincidences". En Image Analysis, 456–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38886-6_43.
Texto completoRaszyk, Martin, David Basin, Srđan Krstić y Dmitriy Traytel. "Multi-head Monitoring of Metric Temporal Logic". En Automated Technology for Verification and Analysis, 151–70. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31784-3_9.
Texto completoRuiz, Gerardo y Rosio Ruiz. "Multi-Temporal Analysis for Mexico City Aquifer". En GeoPlanet: Earth and Planetary Sciences, 365–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30209-1_26.
Texto completoLiutkus, Antoine, Umut Şimşekli y A. Taylan Cemgil. "Extraction of Temporal Patterns in Multi-rate and Multi-modal Datasets". En Latent Variable Analysis and Signal Separation, 135–42. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22482-4_16.
Texto completoPiqueras-Salazar, Ignacio y Pedro García-Sevilla. "Fusion of Multi-temporal and Multi-sensor Hyperspectral Data for Land-Use Classification". En Pattern Recognition and Image Analysis, 724–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38628-2_86.
Texto completoArvind, C. S., Ashoka Vanjare, S. N. Omkar, J. Senthilnath, V. Mani y P. G. Diwakar. "Multi-temporal Satellite Image Analysis Using Unsupervised Techniques". En Advances in Computing and Information Technology, 757–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31552-7_77.
Texto completoMercier, Grégoire y Florence Tupin. "Analysis of Multi-Temporal Series and Change Detection". En Remote Sensing Imagery, 203–21. Hoboken, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118899106.ch8.
Texto completoHebel, Marcus, Michael Arens y Uwe Stilla. "Change Detection in Urban Areas by Direct Comparison of Multi-view and Multi-temporal ALS Data". En Photogrammetric Image Analysis, 185–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24393-6_16.
Texto completoFerretti, Roberta y Silvana Dellepiane. "Color Spaces in Data Fusion of Multi-temporal Images". En Image Analysis and Processing — ICIAP 2015, 612–22. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23231-7_55.
Texto completoSenthilnath, J., S. N. Omkar, V. Mani, Ashoka Vanjare y P. G. Diwakar. "Multi-Temporal Satellite Image Analysis Using Gene Expression Programming". En Advances in Intelligent Systems and Computing, 1039–45. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1602-5_109.
Texto completoActas de conferencias sobre el tema "Multi-temporal Analysi"
Ragnar Bang Huseby, L. Aurdal, L. Eikvil, R. Solberg, D. Vikhamar y A. Solberg. "Alignment of growth seasons from satellite data". En International Workshop on the Analysis of Multi-Temporal Remote Sensing Images. IEEE, 2005. http://dx.doi.org/10.1109/amtrsi.2005.1469875.
Texto completo"Committees". En 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp). IEEE, 2011. http://dx.doi.org/10.1109/multi-temp.2011.6005029.
Texto completo"Author index". En 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp). IEEE, 2011. http://dx.doi.org/10.1109/multi-temp.2011.6005043.
Texto completo"Title page". En 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp). IEEE, 2011. http://dx.doi.org/10.1109/multi-temp.2011.6005027.
Texto completo"Copyright page". En 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp). IEEE, 2011. http://dx.doi.org/10.1109/multi-temp.2011.6005028.
Texto completo"Welcome message". En 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp). IEEE, 2011. http://dx.doi.org/10.1109/multi-temp.2011.6005030.
Texto completo"Table of contents". En 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp). IEEE, 2011. http://dx.doi.org/10.1109/multi-temp.2011.6005031.
Texto completoFernandez-Prieto, D. y M. Marconcini. "A novel approach to targeted change detection". En 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp). IEEE, 2011. http://dx.doi.org/10.1109/multi-temp.2011.6005032.
Texto completoResta, Salvatore, Nicola Acito, Marco Diani, Giovanni Corsini, Thomas Opsahl y Trym Vegard Haavardsholm. "Detection of small changes in airborne hyperspectral imagery: Experimental results over urban areas". En 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp). IEEE, 2011. http://dx.doi.org/10.1109/multi-temp.2011.6005033.
Texto completoBovolo, Francesca, Carlo Marin y Lorenzo Bruzzone. "A multilevel approach to change detection for port surveillance with very high resolution SAR images". En 2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp). IEEE, 2011. http://dx.doi.org/10.1109/multi-temp.2011.6005034.
Texto completoInformes sobre el tema "Multi-temporal Analysi"
Fraser, R., R. Fernandes y R. Latifovic. Multi-temporal Burned area Mapping Using Logistic Regression Analysis and Change Metrics. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219870.
Texto completoNitta, Katsumi. Development of Meta Level Communication Analysis using Temporal Data Crystallization and Its Application to Multi Modal Human Communication. Fort Belvoir, VA: Defense Technical Information Center, julio de 2013. http://dx.doi.org/10.21236/ada587634.
Texto completoMarshall, Michael. Slope Failure Detection through Multi-temporal Lidar Data and Geotechnical Soils Analysis of the Deep-Seated Madrone Landslide, Coast Range, Oregon. Portland State University Library, enero de 2000. http://dx.doi.org/10.15760/etd.2652.
Texto completoMerritt, Elizabeth, Forrest Doss, Eric Loomis, Kirk Flippo y John Kline. Examining the evolution towards turbulence through spatio-temporal analysis of multi-dimensional structures formed by instability growth along a counter propagating shear layer. Office of Scientific and Technical Information (OSTI), julio de 2014. http://dx.doi.org/10.2172/1148305.
Texto completoUkkusuri, Satish, Lu Ling, Tho V. Le y Wenbo Zhang. Performance of Right-Turn Lane Designs at Intersections. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317277.
Texto completo