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Computational Intelligence for Remote Sensing

Computational Intelligence for Remote Sensing

          
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About the Book

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.


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Product Details
  • ISBN-13: 9783642098239
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 393
  • Series Title: Studies in Computational Intelligence
  • Weight: 566 gr
  • ISBN-10: 3642098231
  • Publisher Date: 19 Nov 2010
  • Edition: 1st ed. Softcover of orig. ed. 2008
  • Language: English
  • Returnable: Y
  • Spine Width: 21 mm
  • Width: 156 mm


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