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Original Articles

Distributed LiDAR data processing in a high-memory cloud-computing environment

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Pages 255-264 | Received 21 Feb 2014, Accepted 03 May 2014, Published online: 21 Oct 2014

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Marc P. Armstrong, Shaowen Wang & Zhe Zhang. (2019) The Internet of Things and fast data streams: prospects for geospatial data science in emerging information ecosystems. Cartography and Geographic Information Science 46:1, pages 39-56.
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Ping Liu, Huaqing Li, Xiangguang Dai & Qi Han. (2018) Distributed primal-dual optimisation method with uncoordinated time-varying step-sizes. International Journal of Systems Science 49:6, pages 1256-1272.
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Permata Nur Miftahur Rizki, Junho Eum, Heezin Lee & Sangyoon Oh. (2017) Spark-based in-memory DEM creation from 3D LiDAR point clouds. Remote Sensing Letters 8:4, pages 360-369.
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Articles from other publishers (9)

Daniele Mari, Elena Camuffo & Simone Milani. (2023) CACTUS: Content-Aware Compression and Transmission Using Semantics for Automotive LiDAR Data. Sensors 23:12, pages 5611.
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Máté Cserép & Roderik Lindenbergh. (2023) Distributed processing of Dutch AHN laser altimetry changes of the built-up area. International Journal of Applied Earth Observation and Geoinformation 116, pages 103174.
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Wen Dai, Liyang Xiong, Gilles Antoniazza, Guoan Tang & Stuart N. Lane. (2021) Quantifying the spatial distribution of sediment transport in an experimental gully system using the morphological method. Earth Surface Processes and Landforms 46:6, pages 1188-1208.
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Yuming Feng, Wei Zhang, Jiang Xiong & Huaqing Li. (2020) Distributed Event-Triggered Communication Scheme for Economic Dispatch Problem in Power System With Uncoordinated Step-Sizes. IEEE Access 8, pages 43466-43475.
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Marc P. Armstrong. 2020. High Performance Computing for Geospatial Applications. High Performance Computing for Geospatial Applications 9 25 .
Xuan Hu, Jie Gong, Eduard Gibert Renard & Manish Parashar. (2019) Two-Stage Framework for Big Spatial Data Analytics to Support Disaster Response. Two-Stage Framework for Big Spatial Data Analytics to Support Disaster Response.
Changqing Yan, Jimin Liu, Chuanfa Chen & Tianxiang Yue. (2019) Cloud computing-based high accuracy surface modeling method for China’s Poyang Lake basin DEM generation. Environmental Earth Sciences 78:14.
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Ramanathan Sugumaran & Marc P. Armstrong. 2017. International Encyclopedia of Geography. International Encyclopedia of Geography 1 4 .
Rahil Sharma, Zewei Xu, Ramanathan Sugumaran & Suely Oliveira. (2016) Parallel Landscape Driven Data Reduction & Spatial Interpolation Algorithm for Big LiDAR Data. ISPRS International Journal of Geo-Information 5:6, pages 97.
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