High Performance Computing in Remote Sensing
By:Antonio J. Plaza,Chein-I Chang
Published on 2007-10-18 by CRC Press
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.
This Book was ranked at 2 by Google Books for keyword Data Processing.
Book ID of High Performance Computing in Remote Sensing's Books is 0L9DNQvMFK0C, Book which was written byAntonio J. Plaza,Chein-I Changhave ETAG "LGxZM/qGZE4"
Book which was published by CRC Press since 2007-10-18 have ISBNs, ISBN 13 Code is 9781420011616 and ISBN 10 Code is 1420011618
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