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Computational Intelligence for Remote Sensing

Overview of attention for book
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
Attention for Chapter 11: Neural Networks for Land Cover Applications
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Citations

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Chapter title
Neural Networks for Land Cover Applications
Chapter number 11
Book title
Computational Intelligence for Remote Sensing
Published by
Springer, Berlin, Heidelberg, January 2008
DOI 10.1007/978-3-540-79353-3_11
Book ISBNs
978-3-54-079352-6, 978-3-54-079353-3
Authors

Fabio Pacifici, Fabio Del Frate, Chiara Solimini, William J. Emery

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Student > Ph. D. Student 1 20%
Lecturer 1 20%
Researcher 1 20%
Readers by discipline Count As %
Environmental Science 2 40%
Engineering 1 20%
Unknown 2 40%

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