Computational intelligence for remote sensing
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...
Bewaard in:
| Hoofdauteur: | |
|---|---|
| Andere auteurs: | , , , |
| Formaat: | Livre numérique |
| Taal: | Anglais |
| Gepubliceerd in: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Editie: | 1st ed. 2008. |
| Reeks: | Studies in Computational Intelligence
133 |
| Online toegang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Opmerking: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational intelligence for remote sensing, Manuel Graña, Richard J. Duro, Berlin, Springer, 2008, 1vol. (X-391 p.), Studies in computational intelligence, 978-3-540-79352-6 • Computational Intelligence for Remote Sensing, Texte imprimé, 9783540872191 • Computational Intelligence for Remote Sensing, Texte imprimé, 9783642098239 • Computational intelligence for remote sensing, Manuel Graña, Richard J. Duro, Berlin, Springer, 2008, 1vol. (X-391 p.), Studies in computational intelligence, 978-3-540-79352-6 |
Inhoudsopgave:
- 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