High Performance Computing in Remote Sensing

Herausgeber: Plaza, Antonio J; Chang, Chein-I

• Broschiertes Buch

Produktbeschreibung

One of the first volumes to explore state-of-the-art HPC techniques in the context of remote sensing problems, this book focuses on the computational complexity of algorithms that are designed for parallel computing and processing. It addresses key computing concepts and developments in remote sensing and covers application areas not necessarily related to remote sensing, such as multimedia and video processing. Each chapter illustrates a specific parallel computing paradigm, including multiprocessor (cluster-based) systems, large-scale and heterogeneous networks of computers, grid computing platforms, and specialized hardware architectures for remotely sensed data analysis and interpretation.

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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 496
• Erscheinungstermin: 19. September 2019
• Englisch
• Abmessung: 231mm x 155mm x 33mm
• Gewicht: 862g
• ISBN-13: 9780367388478
• ISBN-10: 0367388472
• Artikelnr.: 57816950

Autorenporträt

Antonio J. Plaza, Chein-I Chang

Inhaltsangabe

Preface. High Performance Computing Architectures for Remote Sensing Data
Analysis: Overview and Case Study. Computer Architectures for Multimedia
and Video Analysis. Parallel Implementation of the ORASIS Algorithm for
Remote Sensing Data Analysis. Parallel Implementation of the Recursive
Approximation of an Unsupervised Hierarchical Segmentation Algorithm.
Computing for Analysis and Modeling of Hyperspectral Imagery. Parallel
Implementation of Morphological Neural Networks for Hyperspectral Image
Analysis. Parallel Wildland Fire Monitoring and Tracking Using Remotely
Sensed Data. An Introduction to Grids for Remote Sensing Applications.
Remote Sensing Grids: Architecture and Implementation. Open Grid Services
for Envisat and Earth Observation Applications. Design and Implementation
of a Grid Computing Environment for Remote Sensing. A Solutionware for
Hyperspectral Image Processing and Analysis. AVIRIS and Related
21st-Century Imaging Spectrometers for Earth and Space Science. Remote
Sensing and High Performance Reconfigurable Computing Systems. FPGA Design
for Real-Time Implementation of Constrained Energy Minimization for
Hyperspectral Target Detection. Real-Time Online Processing of
Hyperspectral Imagery for Target Detection and Discrimination. Real-Time
On-Board Hyperspectral Image Processing Using Programmable Graphics
Hardware. Index.