Results 21 to 30 of about 68,041 (314)
Cross Table Cubing: Mining Iceberg Cubes from Data Warehouses [PDF]
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005 All of the existing (iceberg) cube computation algorithms assume that the data is stored in a single base table, however, in practice, a data warehouse is often organized in a schema of multiple tables, such as star schema and snowflake schema. In terms of both computation time and space, materializing a universal base table by joining multiple tables ...
Cheung, DWL, Cho, M, Pei, J
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Achieving the Full Vision of Earth Observation Data Cubes
Data, 2019 Earth observation imagery have traditionally been expensive, difficult to find and access, and required specialized skills and software to transform imagery into actionable information. This has limited adoption by the broader science community.
Steve Kopp +5 more
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Optimization in Data Cube System Design [PDF]
Journal of Intelligent Information Systems, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kao, B, Hung, E, Cheung, DW
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A 3D U-Net Based on a Vision Transformer for Radar Semantic Segmentation
Sensors, 2023 Radar data can be presented in various forms, unlike visible data. In the field of radar target recognition, most current work involves point cloud data due to computing limitations, but this form of data lacks useful information.
Tongrui Zhang, Yunsheng Fan
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Cloud-based storage and computing for remote sensing big data: a technical review
International Journal of Digital Earth, 2022 The rapid growth of remote sensing big data (RSBD) has attracted considerable attention from both academia and industry. Despite the progress of computer technologies, conventional computing implementations have become technically inefficient for ...
Chen Xu +11 more
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Semantic Earth Observation Data Cubes [PDF]
Data, 2019 There is an increasing amount of free and open Earth observation (EO) data, yet more information is not necessarily being generated from them at the same rate despite high information potential. The main challenge in the big EO analysis domain is producing information from EO data, because numerical, sensory data have no semantic meaning; they lack ...
Hannah Augustin +4 more
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The Austrian Semantic EO Data Cube Infrastructure
Remote Sensing, 2021 Big optical Earth observation (EO) data analytics usually start from numerical, sub-symbolic reflectance values that lack inherent semantic information (meaning) and require interpretation.
Martin Sudmanns +4 more
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Data, 2019 Mountainous regions are particularly vulnerable to climate change, and the impacts are already extensive and observable, the implications of which go far beyond mountain boundaries and the environmental sectors.
Charlotte Poussin +5 more
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Data, 2019 This study aims at assessing the feasibility of automatically producing analysis-ready radiometrically terrain-corrected (RTC) Synthetic Aperture Radar (SAR) gamma nought backscatter data for ingestion into a data cube for use in a large spatio-temporal ...
John Truckenbrodt +9 more
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Data Science Strategies for Multimessenger Astronomy [PDF]
Anais da Academia Brasileira de CiênciasThis article aims to identify and suggest data science strategies to strengthen scientific research in astronomy. The improvements in data workflow performance that can be provided by these strategies can be crucial to the multimessenger astronomy (MMA).
REINALDO R. ROSA
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