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Computational Intelligence for Remote Sensing

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Cover of 'Computational Intelligence for Remote Sensing'

Table of Contents

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    Book Overview
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    Chapter 1 Optical Configurations for Imaging Spectrometers
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    Chapter 2 Remote Sensing Data Compression
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    Chapter 3 A Multiobjective Evolutionary Algorithm for Hyperspectral Image Watermarking
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    Chapter 4 Architecture and Services for Computational Intelligence in Remote Sensing
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    Chapter 5 On Content-Based Image Retrieval Systems for Hyperspectral Remote Sensing Images
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    Chapter 6 An Analytical Approach to the Optimal Deployment of Wireless Sensor Networks
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    Chapter 7 Parallel Spatial-Spectral Processing of Hyperspectral Images
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    Chapter 8 Parallel Classification of Hyperspectral Images Using Neural Networks
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    Chapter 9 Positioning Weather Systems from Remote Sensing Data Using Genetic Algorithms
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    Chapter 10 A Computation Reduced Technique to Primitive Feature Extraction for Image Information Mining Via the Use of Wavelets
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    Chapter 11 Neural Networks for Land Cover Applications
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    Chapter 12 Computational Intelligence for Remote Sensing
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    Chapter 13 Automatic Preprocessing and Classification System for High Resolution Ultra and Hyperspectral Images
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    Chapter 14 Using Gaussian Synapse ANNs for Hyperspectral Image Segmentation and Endmember Extraction
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    Chapter 15 Unsupervised Change Detection from Multichannel SAR Data by Markov Random Fields
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