Buch, Englisch, Band 133, 393 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 610 g
Buch, Englisch, Band 133, 393 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 610 g
Reihe: Studies in Computational Intelligence
ISBN: 978-3-642-09823-9
Verlag: Springer
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Geowissenschaften Geologie Geodäsie, Kartographie, Fernerkundung
- Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
Weitere Infos & Material
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.
