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1دورية أكاديمية
المؤلفون: Ryan A. Kromer, Antonio Abellán, D. Jean Hutchinson, Matt Lato, Tom Edwards, Michel Jaboyedoff
المصدر: Remote Sensing, Vol 7, Iss 10, Pp 13029-13052 (2015)
مصطلحات موضوعية: point cloud, de-noising, LiDAR, Terrestrial Laser Scanning, monitoring, change detection, Science
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Ryan Kromer, Gabe Walton, Brian Gray, Matt Lato, Robert Group
المصدر: Remote Sensing, Vol 11, Iss 16, p 1890 (2019)
مصطلحات موضوعية: rockfall, photogrammetry, time lapse, monitoring, automation, Science
وصف الملف: electronic resource
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3كتاب إلكتروني
المؤلفون: Jean, Hutchinson D.Aff8, Matt, LatoAff9, Dave, GauthierAff8, Ryan, KromerAff8, Matthew, OndercinAff8, Thomas, MacGowanAff8, Tom, EdwardsAff10
المساهمون: Lollino, Giorgio, editorAff1, Giordan, Daniele, editorAff2, Crosta, Giovanni B., editorAff3, Corominas, Jordi, editorAff4, Azzam, Rafig, editorAff5, Wasowski, Janusz, editorAff6, Sciarra, Nicola, editorAff7
المصدر: Engineering Geology for Society and Territory - Volume 2 : Landslide Processes. :435-439
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المؤلفون: Megan van Veen, Michael Porter, Matt Lato, Andrew Mitchell, Colleen Fish, Wim Van Gassen
المصدر: Landslides. 19:829-840
مصطلحات موضوعية: Geotechnical Engineering and Engineering Geology
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المؤلفون: Luke Weidner, Megan van Veen, Gabriel Walton, Matt Lato
المصدر: Landslides. 18:3547-3558
مصطلحات موضوعية: Tree (data structure), Lidar, Decision tree learning, Point cloud, Iterative closest point, Landslide, Geotechnical Engineering and Engineering Geology, Cluster analysis, Algorithm, Geology, Displacement (vector)
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المصدر: SSRN Electronic Journal.
مصطلحات موضوعية: History, Signal processing, Polymers and Plastics, Computer science, Noise (signal processing), Fast Fourier transform, Point cloud, Classification of discontinuities, Industrial and Manufacturing Engineering, Discontinuity (linguistics), Region growing, Point (geometry), Business and International Management, Algorithm
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::3bf8cbdda321cc790ae83c3d0022d135
https://doi.org/10.2139/ssrn.3899864 -
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