High Performance Computing for Hyperspectral Remote Sensing

Advances in sensor and computer technology are revolutionizing the way remotely sensed data is collected, managed and analyzed. In particular, many current and future applications of remote sensing in Earth science, space science, and soon in exploration science will require real- or near real-time...

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Bibliographische Detailangaben
Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing Jg. 4; H. 3; S. 528 - 544
Hauptverfasser:	Plaza, Antonio, Du, Qian, Chang, Yang-Lang, King, Roger L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.09.2011 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Channels Cluster computing Commodities Computation Computer simulation Data processing Distributed processing Earth Field programmable gate arrays FPGAs GPUs Hardware hardware implementations heterogeneous computing high performance computing (HPC) Hyperspectral imaging hyperspectral remote sensing Mathematical models Pixel Remote sensing
ISSN:	1939-1404, 2151-1535
Online-Zugang:	Volltext
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