High Performance Computing in Remote Sensing~tqw~ darksiderg

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  High Performance Computing in Remote Sensing~tqw~ darksiderg
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  *******************************************************************************<br /> High Performance Computing in Remote Sensing<br /> *******************************************************************************<br /> <br /> -------------------------------------------------------------------------------<br /> General Information<br /> -------------------------------------------------------------------------------<br /> Type.................: Ebook<br /> Part Size............: 8,938,654 bytes<br /> <br /> <br /> <br /> <br /> -------------------------------------------------------------------------------<br /> Post Information<br /> -------------------------------------------------------------------------------<br /> Posted by............: ~tqw~<br /> <br /> -------------------------------------------------------------------------------<br /> Release Notes<br /> -------------------------------------------------------------------------------<br /> Advances in sensor technology are revolutionizing how remotely sensed data is <br /> collected, managed, and analyzed. Recent efforts have been directed toward the <br /> incorporation of high performance computing (HPC) models in remote sensing <br /> missions. High Performance Computing in Remote Sensing examines three main <br /> application areas in this field: multiprocessor systems, large-scale and <br /> heterogeneous distributed computing, and specialized architectures for remotely <br /> sensed data analysis and interpretation. With an extensive review of current and <br /> future developments, the book provides a thoughtful perspective on the potential <br /> challenges of adapting HPC paradigms to remote sensing problems.<br /> <br /> Table Of Contents<br /> <br /> 1 Introduction 1<br /> 2 High-Performance Computer Architectures for Remote Sensing Data Analysis: <br /> Overview and Case Study 9<br /> 3 Computer Architectures for Multimedia and Video Analysis 43<br /> 4 Parallel Implementation of the ORASIS Algorithm for Remote Sensing Data <br /> Analysis 69<br /> 5 Parallel Implementation of the Recursive Approximation of an Unsupervised <br /> Hierarchical Segmentation Algorithm 97<br /> 6 Computing for Analysis and Modeling of Hyperspectral Imagery 109<br /> 7 Parallel Implementation of Morphological Neural Networks for Hyperspectral <br /> Image Analysis 131<br /> 8 Parallel Wildland Fire Monitoring and Tracking Using Remotely Sensed Data 151<br /> 9 An Introduction to Grids for Remote Sensing Applications 183<br /> 10 Remote Sensing Grids: Architecture and Implementation 203<br /> 11 Open Grid Services for Envisat and Earth Observation Applications 237<br /> 12 Design and Implementation of a Grid Computing Environment for Remote Sensing <br /> 281 <br /> 13 A Solutionware for Hyperspectral Image Processing and Analysis 309<br /> 14 AVIRIS and Related 21st Century Imaging Spectrometers for Earth<br /> and Space Science 335<br /> 15 Remote Sensing and High-Performance Reconfigurable Computing Systems 359<br /> 16 FPGA Design for Real-Time Implementation of Constrained Energy Minimization <br /> for Hyperspectral Target Detection 379<br /> 17 Real-Time Online Processing of Hyperspectral Imagery for Target Detection and <br /> Discrimination 397<br /> 18 Real-Time Onboard Hyperspectral Image Processing Using Programmable Graphics <br /> Hardware 411 <br /> Index 453<br /> <br /> Product Details<br /> <br /> * ISBN: 1584886625<br /> * ISBN-13: 9781584886624<br /> * Format: Hardcover, 496pp<br /> * Publisher: CRC Press<br /> * Pub. Date: October 2007<br /> <br /> -------------------------------------------------------------------------------<br /> Install Notes<br /> -------------------------------------------------------------------------------<br /> PDF Reader<br />
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