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ISBN: 9783642098239
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 ge… Más…
2008, ISBN: 9783642098239
Computational Intelligence for Remote Sensing:Studies in Computational Intelligence. Softcover reprint of hardcover 1st ed. 2008 Computational Intelligence for Remote Sensing:Studies in C… Más…
ISBN: 9783642098239
to address issues of o- ership authentication in digital contents. Books > Computers > Artificial Intelligence List_Books, [PU: Springer, Berlin/Heidelberg/New York, NY]
2008, ISBN: 3642098231
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Computational Intelligence for Remote Sensing ab 199.99 EURO Softcover reprint of hardcover 1st ed. 2008 Medien > Bücher, [PU: Springer, Berlin/Heidelberg/New York, NY]
2010, ISBN: 9783642098239
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Softcover reprint of hardcover 1st ed. 2008, Softcover, Buch, [PU: Springer Berlin]
Datos bibliográficos del mejor libro coincidente
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Detalles del libro - Computational Intelligence for Remote Sensing
EAN (ISBN-13): 9783642098239
ISBN (ISBN-10): 3642098231
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: Springer Berlin
404 Páginas
Peso: 0,608 kg
Idioma: eng/Englisch
Libro en la base de datos desde 2011-05-22T15:08:57+02:00 (Madrid)
Página de detalles modificada por última vez el 2021-10-29T18:21:55+02:00 (Madrid)
ISBN/EAN: 9783642098239
ISBN - escritura alterna:
3-642-09823-1, 978-3-642-09823-9
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: granö, manuel
Título del libro: remote sensing
Datos del la editorial
Autor: Manuel Grana; Richard J. Duro
Título: Studies in Computational Intelligence; Computational Intelligence for Remote Sensing
Editorial: Springer; Springer Berlin
393 Páginas
Año de publicación: 2010-11-19
Berlin; Heidelberg; DE
Impreso en
Idioma: Inglés
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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