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(Ebook) High Performance Computing in Remote Sensing 1st Edition by Antonio J Plaza, Chein I Chang ISBN 1584886625 978-1584886624

  • SKU: EBN-1953150
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Instant download (eBook) High Performance Computing in Remote Sensing (Chapman & Hall Crc Computer & Information Science Series) after payment.
Authors:Antonio J. Plaza, Chein-I Chang
Pages:496 pages.
Year:2007
Editon:1
Language:english
File Size:6.89 MB
Format:pdf
ISBNS:9781420011616, 9781584886624, 1420011618, 1584886625
Categories: Ebooks

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(Ebook) High Performance Computing in Remote Sensing 1st Edition by Antonio J Plaza, Chein I Chang ISBN 1584886625 978-1584886624

(Ebook) High Performance Computing in Remote Sensing 1st Edition by Antonio J. Plaza, Chein-I Chang - Ebook PDF Instant Download/Delivery: 1584886625, 978-1584886624

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Product details:

ISBN 10: 1584886625

ISBN 13: 978-1584886624 

Author: Antonio J. Plaza, Chein-I Chang

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 have begun incorporating high performance computing (HPC) models in remote sensing missions. High Performance Computing in Remote Sensing is one of the first volumes to explore state-of-the-art HPC techniques in the context of remote sensing problems. It focuses on the computational complexity of algorithms that are designed for parallel computing and processing.

A Diverse Collection of Parallel Computing Techniques and Architectures

The book first addresses key computing concepts and developments in remote sensing. It also covers application areas not necessarily related to remote sensing, such as multimedia and video processing. Each subsequent 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.

An Interdisciplinary Forum to Encourage Novel Ideas

The extensive reviews of current and future developments combined with thoughtful perspectives on the potential challenges of adapting HPC paradigms to remote sensing problems will undoubtedly foster collaboration and development among many fields.

Table of contents:

  1. High Performance Computing Architectures for Remote Sensing Data Analysis: Overview and Case Study

  2. Computer Architectures for Multimedia and Video Analysis

  3. Parallel Implementation of the ORASIS Algorithm for Remote Sensing Data Analysis

  4. Parallel Implementation of the Recursive Approximation of an Unsupervised Hierarchical Segmentation Algorithm

  5. Computing for Analysis and Modeling of Hyperspectral Imagery

  6. Parallel Implementation of Morphological Neural Networks for Hyperspectral Image Analysis

  7. Parallel Wildland Fire Monitoring and Tracking Using Remotely Sensed Data

  8. An Introduction to Grids for Remote Sensing Applications

  9. Remote Sensing Grids: Architecture and Implementation

  10. Open Grid Services for Envisat and Earth Observation Applications

  11. Design and Implementation of a Grid Computing Environment for Remote Sensing

  12. A Solutionware for Hyperspectral Image Processing and Analysis

  13. AVIRIS and Related 21st-Century Imaging Spectrometers for Earth and Space Science

  14. Remote Sensing and High Performance Reconfigurable Computing Systems

  15. FPGA Design for Real-Time Implementation of Constrained Energy Minimization for Hyperspectral Target Detection

  16. Real-Time Online Processing of Hyperspectral Imagery for Target Detection and Discrimination

  17. Real-Time On-Board Hyperspectral Image Processing Using Programmable Graphics Hardware

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Tags: Antonio J Plaza, Chein I Chang, High Performance Computing, Remote Sensing

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