High Performance Computing In Geoscience And Remote Sensing Vii PDF Download
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Author | : Bormin Huang |
Publisher | : |
Total Pages | : 140 |
Release | : 2018-02-28 |
Genre | : |
ISBN | : 9781510613249 |
Download High-Performance Computing in Geoscience and Remote Sensing VII Book in PDF, ePub and Kindle
Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
Author | : Bormin Huang |
Publisher | : |
Total Pages | : |
Release | : 2017 |
Genre | : |
ISBN | : 9781510613256 |
Download High-Performance Computing in Geoscience and Remote Sensing VII Book in PDF, ePub and Kindle
Author | : |
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Total Pages | : |
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ISBN | : 9781510604193 |
Download High-Performance Computing in Geoscience and Remote Sensing VI. Book in PDF, ePub and Kindle
Author | : Antonio J. Plaza |
Publisher | : CRC Press |
Total Pages | : 494 |
Release | : 2007-10-18 |
Genre | : Computers |
ISBN | : 1420011618 |
Download High Performance Computing in Remote Sensing Book in PDF, ePub and Kindle
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
Author | : Bormin Huang |
Publisher | : |
Total Pages | : |
Release | : 2018 |
Genre | : |
ISBN | : 9781510621688 |
Download High-Performance Computing in Geoscience and Remote Sensing VIII Book in PDF, ePub and Kindle
Author | : Lizhe Wang |
Publisher | : CRC Press |
Total Pages | : 283 |
Release | : 2019-07-11 |
Genre | : Computers |
ISBN | : 0429949871 |
Download Cloud Computing in Remote Sensing Book in PDF, ePub and Kindle
This book provides the users with quick and easy data acquisition, processing, storage and product generation services. It describes the entire life cycle of remote sensing data and builds an entire high performance remote sensing data processing system framework. It also develops a series of remote sensing data management and processing standards. Features: Covers remote sensing cloud computing Covers remote sensing data integration across distributed data centers Covers cloud storage based remote sensing data share service Covers high performance remote sensing data processing Covers distributed remote sensing products analysis
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Release | : 2012 |
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Download High-Performance Computing in Remote Sensing II. Book in PDF, ePub and Kindle
Author | : Bormin Huang |
Publisher | : |
Total Pages | : 277 |
Release | : 2015 |
Genre | : Electronic books |
ISBN | : |
Download High-performance Computing in Remote Sensing V Book in PDF, ePub and Kindle
Author | : Bormin Huang |
Publisher | : |
Total Pages | : |
Release | : 2014 |
Genre | : Electronic books |
ISBN | : |
Download High-performance Computing in Remote Sensing IV Book in PDF, ePub and Kindle
Author | : Rémi Cresson |
Publisher | : CRC Press |
Total Pages | : 165 |
Release | : 2020-07-15 |
Genre | : Technology & Engineering |
ISBN | : 100009359X |
Download Deep Learning for Remote Sensing Images with Open Source Software Book in PDF, ePub and Kindle
In today’s world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc. Written with practitioners and students in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public, free available data (Spot-7 and Sentinel-2 images, OpenStreetMap vector data), using open source software (QGIS, Orfeo ToolBox, TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world, mainly for landcover mapping, but also for generic approaches (e.g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.