| Description |
1 online resource (x, 391 pages) : illustrations |
| Series |
Studies in computational intelligence ; v. 133 |
|
Studies in computational intelligence ; v. 133.
|
| Contents |
Optical configurations for imaging spectrometers / X. Prieto-Blanco [and others] -- Remote sensing data compression / Joan Serra-Sagristà, Francesc Aulí-Llinàs -- A multiobjective evolutionary algorithm for hyperspectral image watermarking / D. Sal, M. Graña -- Architecture and services for computational intelligence in remote sensing / Sergio D'Elia [and others] -- On content-based image retrieval systems for hyperspectral remote sensing images / Miguel A. Veganzones, José Orlando Maldenado, Manuel Graña -- An analytical approach to the optimal deployment of wireless sensor networks / J. Vales-Alonso [and others] -- Parallel spatial-spectral processing of hyperspectral images / Antonio J. Plaza -- Parallel classification of hyperspectral images using neural networks / Javier Plaza [and others] -- Positioning weather systems from remote sensing data using genetic algorithms / Wong Ka Yan, Yip Chi Lap -- A computation reduced technique to primitive feature extraction for image information mining via the use of wavelets / Vijay P. Shah [and others] -- Neural networks for land cover applications / Fabio Pacifici [and others] -- Information extraction for forest fire management / Andrea Pelizzari Ricardo Armas Goncalves, Mario Caetano -- Automatic preporocessing and classification system for high resolution ultra and hyperspectral images / Abraham Prieto [and others] -- Using Gaussian synapse ANNs for hyperspectral image segmentation and endmember extraction / R.J. Duro, F. Lopez-Pena, J.L. Crespo -- Unsupervised change detection from multichannel SAR data by Markov random fields / Sebastiano B. Serpico, Gabriele Moser |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
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Print version record |
| Subject |
Remote sensing -- Mathematics.
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Remote-sensing images.
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Computational intelligence.
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Genetic algorithms.
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Computational intelligence.
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Genetic algorithms.
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Remote sensing -- Mathematics.
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Remote-sensing images.
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Ingénierie.
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Computational intelligence.
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Genetic algorithms.
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Remote-sensing images.
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Remote sensing -- Mathematics.
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| Genre/Form |
Remote-sensing images.
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Remote-sensing images.
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Images-satellite.
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| Form |
Electronic book
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| Author |
Graña, Manuel, 1958-
|
|
Duro, Richard J., 1965-
|
| LC no. |
2008925271 |
| ISBN |
9783540793533 |
|
3540793534 |
|
9783540793526 |
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3540793526 |
|
