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A volume in the Chapman & Hall/CRC Computer and Information Science SeriesSeries edited by Sartaj Sahni, University of Florida, Gainesville, USA
Edited by Antonio J. Plaza • University of Extremadura, Caceres, SpainChein-I Chang • University of Maryland, Baltimore County (UMBC), USA, and National Chung Hsing University, Taichung, Taiwan
FEATURES• Provides a state-of-the-art look at the HPC techniques—
including cluster computers, workstation and grid networks,field programmable gate arrays (FPGAs), and graphics processing units (GPUs)—used to solve remote sensingproblems
• Presents well-established processing techniques for dataacquisition, calibration, correction, target detection/classification, image segmentation, model inversion, andvisualization
• Includes several chapters that focus on hyperspectral imaging• Features contributors from world-renowned universities,
NASA, the European Space Agency, and the AerospaceCorporation who provide insight into novel developmentsand realistic applications in the areas of security and defense,computer engineering, and Earth, space, and environmentalsciences
• Contains more than 200 high-quality figures and tables topromote a better understanding of the concepts described
CONTENTSIntroduction, A.J. Plaza and C. ChangHigh Performance Computing Architectures for Remote
Sensing Data Analysis: Overview and Case Study, A.J. Plazaand C. Chang
Computer Architectures for Multimedia and Video Analysis,E. Sáez, J. González-Mora, N. Guil, J.I. Benavides, and E.L. Zapata
Parallel Implementation of the ORASIS Algorithm for RemoteSensing Data Analysis, D. Gillis and J.H. Bowles
Parallel Implementation of the Recursive Approximation of anUnsupervised Hierarchical Segmentation Algorithm,J.C. Tilton
Computing for Analysis and Modeling of HyperspectralImagery, G.P. Asner, R.S. Haxo, and D.E. Knapp
Parallel Implementation of Morphological Neural Networks forHyperspectral Image Analysis, J. Plaza, R. Pérez, A.J. Plaza,P. Martínez , and D.Valencia
See reverse side for continuation of Contents and ordering information
Catalog no. C6625, January 2008, 496 pp.
ISBN: 978-1-58488-662-4, $99.95 / £54.99
C6625 FL
Solutions for Time-Critical Remote Sensing Applications
The recent use of latest-generation sensors in airborne andsatellite platforms is producing a nearly continual stream ofhigh-dimensional data, which, in turn, is creating new pro-cessing challenges. To address the computational require-ments of time-critical applications, researchers have begunincorporating high performance computing (HPC) modelsin remote sensing missions. High PerformanceComputing in Remote Sensing is one of the first volumesto explore state-of-the-art HPC techniques in the context ofremote sensing problems. It focuses on the computationalcomplexity of algorithms that are designed for parallelcomputing and processing.
A Diverse Collection of Parallel Computing Techniques and Architectures
The book first addresses key computing concepts anddevelopments in remote sensing. It also covers applicationareas not necessarily related to remote sensing, such asmultimedia and video processing. Each subsequent chapterillustrates a specific parallel computing paradigm, includ-ing multiprocessor (cluster-based) systems, large-scale andheterogeneous networks of computers, grid computingplatforms, and specialized hardware architectures forremotely sensed data analysis and interpretation.
An Interdisciplinary Forum to Encourage Novel Ideas
The extensive reviews of current and future developmentscombined with thoughtful perspectives on the potentialchallenges of adapting HPC paradigms to remote sensingproblems will undoubtedly foster collaboration and devel-opment among many fields.
New!New!
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Contents continued...
Parallel Wildland Fire Monitoring andTracking Using Remotely SensedData, D. Valencia, P. Martínez ,A.J. Plaza, and J. Plaza
An Introduction to Grids for RemoteSensing Applications, C.A. Lee
Remote Sensing Grids: Architectureand Implementation, S.D. Gasster,C.A. Lee, and J.W. Palko
Open Grid Services for Envisat andEarth Observation Applications,L. Fusco, R. Cossu, and C. Retscher
Design and Implementation of a GridComputing Environment for RemoteSensing, G. Aloisio, M. Cafaro,I. Epicoco, G. Quarta, and S. Fiore
A Solutionware for HyperspectralImage Processing and Analysis,M. Vélez-Reyes, W. Rivera-Gallego,and L.O. Jiménez-Rodríguez
AVIRIS and Related 21st-CenturyImaging Spectrometers for Earth andSpace Science, R.O. Green
Remote Sensing and High PerformanceReconfigurable Computing Systems,E. El-Araby, M. Taher,T. El-Ghazawi, and J. Le Moigne
FPGA Design for Real-TimeImplementation of ConstrainedEnergy Minimization forHyperspectral Target Detection,J. Wang and C.I Chang
Real-Time Online Processing ofHyperspectral Imagery for TargetDetection and Discrimination,Q. Du
Real-Time On-Board HyperspectralImage Processing UsingProgrammable Graphics Hardware J. Setoain, M. Prieto, C. Tenllado,and F. Tirado
Index
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