High-Performance Computing in Geoscience and Remote Sensing VI.

High-Performance Computing in Geoscience and Remote Sensing VI.
Title High-Performance Computing in Geoscience and Remote Sensing VI. PDF eBook
Author
Publisher
Pages
Release
Genre
ISBN 9781510604193

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High-Performance Computing in Geoscience and Remote Sensing VI

High-Performance Computing in Geoscience and Remote Sensing VI
Title High-Performance Computing in Geoscience and Remote Sensing VI PDF eBook
Author Bormin Huang
Publisher
Pages 190
Release 2017-02-28
Genre
ISBN 9781510604186

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Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research

High Performance Computing in Remote Sensing

High Performance Computing in Remote Sensing
Title High Performance Computing in Remote Sensing PDF eBook
Author Antonio J. Plaza
Publisher CRC Press
Pages 494
Release 2007-10-18
Genre Computers
ISBN 1420011618

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Solutions for Time-Critical Remote Sensing Applications The recent use of latest-generation sensors in airborne and satellite platforms is producing a nearly continual stream of high-dimensional data, which, in turn, is creating new processing challenges. To address the computational requirements of time-critical applications, researchers

High-Performance Computing in Geoscience and Remote Sensing VIII

High-Performance Computing in Geoscience and Remote Sensing VIII
Title High-Performance Computing in Geoscience and Remote Sensing VIII PDF eBook
Author Bormin Huang
Publisher
Pages
Release 2018
Genre
ISBN 9781510621688

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Cloud Computing in Remote Sensing

Cloud Computing in Remote Sensing
Title Cloud Computing in Remote Sensing PDF eBook
Author Lizhe Wang
Publisher CRC Press
Pages 283
Release 2019-07-11
Genre Computers
ISBN 0429949871

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This book provides the users with quick and easy data acquisition, processing, storage and product generation services. It describes the entire life cycle of remote sensing data and builds an entire high performance remote sensing data processing system framework. It also develops a series of remote sensing data management and processing standards. Features: Covers remote sensing cloud computing Covers remote sensing data integration across distributed data centers Covers cloud storage based remote sensing data share service Covers high performance remote sensing data processing Covers distributed remote sensing products analysis

High-Performance Computing in Remote Sensing II.

High-Performance Computing in Remote Sensing II.
Title High-Performance Computing in Remote Sensing II. PDF eBook
Author
Publisher
Pages
Release 2012
Genre
ISBN

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High Performance Computing for Geospatial Applications

High Performance Computing for Geospatial Applications
Title High Performance Computing for Geospatial Applications PDF eBook
Author Wenwu Tang
Publisher Springer Nature
Pages 298
Release 2020-07-20
Genre Technology & Engineering
ISBN 3030479986

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This volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications. With a focus on geospatial applications, the book discusses in detail how researchers apply HPC to tackle their geospatial problems. Based on this focus, the book identifies the opportunities and challenges revolving around geospatial applications of HPC. Readers are introduced to the fundamentals of HPC, and will learn how HPC methods are applied in various specific areas of geospatial study. The book begins by discussing theoretical aspects and methodological uses of HPC within a geospatial context, including parallel algorithms, geospatial data handling, spatial analysis and modeling, and cartography and geovisualization. Then, specific domain applications of HPC are addressed in the contexts of earth science, land use and land cover change, urban studies, transportation studies, and social science. The book will be of interest to scientists and engineers who are interested in applying cutting-edge HPC technologies in their respective fields, as well as students and faculty engaged in geography, environmental science, social science, and computer science.