Spectral-Spatial Classification of Hyperspectral Remote Sensing Images.

This comprehensive new resource brings you up to date on recent developments in the classification of hyperspectral images using both spectral and spatial information, including advanced statistical approaches and methods. The inclusion of spatial information to traditional approaches for hyperspect...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Benediktsson, Jon Atli
Otros Autores: Ghamisi, Pedram
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Norwood : Artech House, 2015.
Temas:
Remote sensing.
Multispectral imaging.
Image processing > Digital techniques.
Télédétection.
Imagerie multispectrale.
Traitement d'images > Techniques numériques.
multispectral imaging.
digital imaging.
remote sensing.
Image processing > Digital techniques
Multispectral imaging
Remote sensing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Spectral-Spatial Classification of Hyperspectral Remote Sensing Images; Contents; Foreword; Acknowledgments; Chapter 1 Introduction; 1.1 INTRODUCTION TO HYPERSPECTRAL IMAGING SYSTEMS; 1.2 HIGH-DIMENSIONAL DATA; 1.2.1 Geometrical and Statistical Properties of High DimensionalData and the Need for Feature Reduction; 1.2.2 Conventional Spectral Classifiers and the Importance of Considering Spatial Information; 1.3 SUMMARY; Chapter 2Classification Approaches; 2.1 CLASSIFICATION; 2.2 STATISTICAL CLASSIFICATION; 2.2.1 Support Vector Machines; 2.2.2 Neural Network Classifiers.
  • 2.2.3 Decision Tree Classifiers2.3 MULTIPLE CLASSIFIERS; 2.3.1 Boosting; 2.3.2 Bagging; 2.3.3 Random Forest; 2.4 THE ECHO CLASSIFIER; 2.5 ESTIMATION OF CLASSIFICATION ERROR; 2.5.1 Confusion Matrix; 2.5.2 Average Accuracy (AA); 2.6 SUMMARY; Chapter 3Feature Reduction; 3.1 FEATURE EXTRACTION (FE); 3.1.1 Principal Component Analysis (PCA); 3.1.2 Independent Compone.

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