High Performance Computing in Remote Sensing

by Chein-I Chang

• ISBN13: 9781420011616
• ISBN10: 1420011618
• eBook ISBN(s): 9781040221761
• Format: Nonspecific Binding
• Copyright: 2007-10-18
• Publisher: Taylor & Francis
• More Book Details
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Summary

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 Sensingis 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

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

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