Kernel Feature Extraction Methods for Remote Sensing Data Analysis

Kernel Feature Extraction Methods for Remote Sensing Data Analysis
Author: Gustavo Camps Valls
Publisher:
Total Pages: 139
Release: 2014
Genre:
ISBN:

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Kernel Feature Extraction Methods for Remote Sensing Data Analysis
Language: en
Pages: 139
Authors: Gustavo Camps Valls
Categories:
Type: BOOK - Published: 2014 - Publisher:

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Kernel Methods for Remote Sensing Data Analysis
Language: en
Pages: 434
Authors: Gustau Camps-Valls
Categories: Technology & Engineering
Type: BOOK - Published: 2009-09-03 - Publisher: John Wiley & Sons

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Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard
Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification
Language: en
Pages: 177
Authors: Anil Kumar
Categories: Computers
Type: BOOK - Published: 2020-07-19 - Publisher: CRC Press

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This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy
Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data
Language: en
Pages: 344
Authors: Pramod K. Varshney
Categories: Computers
Type: BOOK - Published: 2004-08-12 - Publisher: Springer Science & Business Media

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The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field
Remote Sensing Image Processing
Language: en
Pages: 194
Authors: Gustavo Camps-Valls
Categories: Technology & Engineering
Type: BOOK - Published: 2011-12-11 - Publisher: Morgan & Claypool Publishers

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Earth observation is the field of science concerned with the problem of monitoring and modeling the processes on the Earth surface and their interaction with th