Download High Performance Computing in Remote Sensing (Chapman & Hall by Antonio J. Plaza, Chein-I Chang PDF
By Antonio J. Plaza, Chein-I Chang
Solutions for Time-Critical distant Sensing Applications
The contemporary use of latest-generation sensors in airborne and satellite tv for pc structures is generating an almost continuous circulate of high-dimensional info, which, in flip, is growing new processing demanding situations. to handle the computational necessities of time-critical purposes, researchers have all started incorporating excessive functionality computing (HPC) versions in distant sensing missions. High functionality Computing in distant Sensing is without doubt one of the first volumes to discover state of the art HPC recommendations within the context of distant sensing difficulties. It makes a speciality of the computational complexity of algorithms which are designed for parallel computing and processing.
A varied choice of Parallel Computing options and Architectures
The ebook first addresses key computing suggestions and advancements in distant sensing. It additionally covers program components no longer inevitably concerning distant sensing, reminiscent of multimedia and video processing. every one next bankruptcy illustrates a selected parallel computing paradigm, together with multiprocessor (cluster-based) platforms, large-scale and heterogeneous networks of desktops, grid computing systems, and really good architectures for remotely sensed facts research and interpretation.
An Interdisciplinary discussion board to inspire Novel Ideas
The huge stories of present and destiny advancements mixed with considerate views at the strength demanding situations of adapting HPC paradigms to distant sensing difficulties will absolutely foster collaboration and improvement between many fields.
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Additional resources for High Performance Computing in Remote Sensing (Chapman & Hall Crc Computer & Information Science Series)
Sample text
The main purpose of this chapter is to provide an overview of different HPC paradigms in the context of remote sensing applications. 2 describes relevant previous efforts in the field, such as the evolution of cluster computing in remote sensing applications, the emergence of distributed networks of computers as a cost-effective means to solve remote sensing problems, and the exploitation of specialized hardware architectures in remote sensing missions. 3 provides an application case study: the well-known Pixel Purity Index (PPI) algorithm [23], which has been widely used to analyze hyperspectral images and is available in commercial software.
10 13 14 15 16 17 17 20 20 22 23 27 27 29 31 35 36 37 38 Advances in sensor technology are revolutionizing the way remotely sensed data are collected, managed, and analyzed. In particular, many current and future applications of remote sensing in earth science, space science, and soon in exploration science require real- or near-real-time processing capabilities. In recent years, several efforts 9 10 High-Performance Computing in Remote Sensing have been directed towards the incorporation of high-performance computing (HPC) models to remote sensing missions.
10 13 14 15 16 17 17 20 20 22 23 27 27 29 31 35 36 37 38 Advances in sensor technology are revolutionizing the way remotely sensed data are collected, managed, and analyzed. In particular, many current and future applications of remote sensing in earth science, space science, and soon in exploration science require real- or near-real-time processing capabilities. In recent years, several efforts 9 10 High-Performance Computing in Remote Sensing have been directed towards the incorporation of high-performance computing (HPC) models to remote sensing missions.