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Computational Intelligence for Remote Sensing - Livres de poche

2010, ISBN: 9783642098239

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Computational Intelligence for Remote Sensing
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ISBN:

3642098231


This book is a composition of different points of view regarding the application of Computational Intelligence techniques and methods to Remote Sensing data and applications. It is the general consensus that classification, its related data processing, and global optimization methods are core topics of Computational Intelligence. Much of the content of the book is devoted to image segmentation and recognition, using diverse tools from different areas of the Computational Intelligence field, ranging from Artificial Neural Networks to Markov Random Field modeling. The book covers a broad range of topics, starting from the hardware design of hyperspectral sensors, and data handling problems, namely data compression and watermarking issues, as well as autonomous web services. The main contents of the book are devoted to image analysis and efficient (parallel) implementations of these analysis techniques. The classes of images dealt with throughout the book are mostly multispectral-hyperspectral images, though there are some instances of processing Synthetic Aperture Radar images.

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EAN (ISBN-13): 9783642098239
ISBN (ISBN-10): 3642098231
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Springer Berlin
404 Pages
Poids: 0,608 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2011-05-22T15:08:57+02:00 (Zurich)
Page de détail modifiée en dernier sur 2021-10-29T18:21:55+02:00 (Zurich)
ISBN/EAN: 3642098231

ISBN - Autres types d'écriture:
3-642-09823-1, 978-3-642-09823-9
Autres types d'écriture et termes associés:
Auteur du livre: granö, manuel
Titre du livre: remote sensing

Données de l'éditeur

Auteur: Manuel Grana; Richard J. Duro
Titre: Studies in Computational Intelligence; Computational Intelligence for Remote Sensing
Editeur: Springer; Springer Berlin
393 Pages
Date de parution: 2010-11-19
Berlin; Heidelberg; DE
Imprimé / Fabriqué en
Langue: Anglais
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
X, 393 p.

BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Markov; Markov random field; classification; cognition; computational intelligence; evolutionary algorithm; genetic algorithms; image analysis; image segmentation; intelligence; modeling; neural networks; optimization; remote sensing; sensing; Mathematical and Computational Engineering Applications; Artificial Intelligence; Künstliche Intelligenz; BB

Optical Configurations for Imaging Spectrometers.- Remote Sensing Data Compression.- A Multiobjective Evolutionary Algorithm for Hyperspectral Image Watermarking.- Architecture and Services for Computational Intelligence in Remote Sensing.- On Content-Based Image Retrieval Systems for Hyperspectral Remote Sensing Images.- An Analytical Approach to the Optimal Deployment of Wireless Sensor Networks.- Parallel Spatial-Spectral Processing of Hyperspectral Images.- Parallel Classification of Hyperspectral Images Using Neural Networks.- Positioning Weather Systems from Remote Sensing Data Using Genetic Algorithms.- A Computation Reduced Technique to Primitive Feature Extraction for Image Information Mining Via the Use of Wavelets.- Neural Networks for Land Cover Applications.- Information Extraction for Forest Fires Management.- Automatic Preprocessing and Classification System for High Resolution Ultra and Hyperspectral Images.- Using Gaussian Synapse ANNs for Hyperspectral Image Segmentation and Endmember Extraction.- Unsupervised Change Detection from Multichannel SAR Data by Markov Random Fields.
Presents recent results in computational intelligence applications in remote sensing Includes supplementary material: sn.pub/extras
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