Computational intelligence for remote sensing /

Computational intelligence for remote sensing /

Saved in:

Bibliographic Details
Imprint:	Berlin : Springer, ©2008.
Description:	1 online resource (x, 391 pages) : illustrations.
Language:	English
Series:	Studies in computational intelligence ; v. 133 Studies in computational intelligence ; v. 133.
Subject:	Remote sensing -- Mathematics. Remote-sensing images. Computational intelligence. Genetic algorithms. Computational intelligence. Genetic algorithms. Remote-sensing images. Remote sensing -- Mathematics.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11070070

Hidden Bibliographic Details
Other authors / contributors:	Graña, Manuel, 1958- Duro, Richard J., 1965-
ISBN:	9783540793533 3540793534 9783540793526 3540793526
Notes:	Includes bibliographical references and index. Print version record.
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.
Other form:	Print version: Computational intelligence for remote sensing. Berlin : Springer, ©2008 9783540793526 3540793526

Description
Summary:	Optical configurations for imaging spectrometers.- Remote Sensing Data Compression.- A Multiobjective Evolutionary Algorithm for Hyperspectral Image.- Architecture and Services for Computational Intelligence in Remote Sensing.-On Content-Based Image Retrieval Systems For Hyperspectral Remote.- 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.
Physical Description:	1 online resource (x, 391 pages) : illustrations.
Bibliography:	Includes bibliographical references and index.
ISBN:	9783540793533 3540793534 9783540793526 3540793526