Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data

Name: Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data
Brand: Springer, Springer Berlin Heidelberg
SKU: 4170418
Price: 353.90 CHF
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(Sprache: Englisch)

Autoren: Pramod K. Varshney , Manoj K. Arora

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Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data, Pramod K. Varshney, Manoj K. Arora

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Produktinformationen zu „Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data “

The main objective of this book is to apprise the reader of the use of a number of tools and techniques for a variety of image processing tasks, namely Independent Component Analysis (ICA), Mutual Information (MI), Markov Random Field (MRF) Models and Support Vector Machines (SVM). Typical applications considered are feature extraction, image classification, image fusion and change detection. The book also treats a number of experimental examples based on a variety of remote sensors.

The utility of the book will be highly appreciated by academicians and R & D professionals, who are involved in current research in the area of hyperspectral imaging, as well as by professional remote-sensing data users such as geologists, hydrologists, environmental scientists, civil engineers and computer scientists.

Klappentext zu „Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data “

The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines. The book also explores a number of experimental examples based on a variety of remote sensors. The book will be useful to people involved in hyperspectral imaging research, as well as by remote-sensing data like geologists, hydrologists, environmental scientists, civil engineers and computer scientists.

Inhaltsverzeichnis zu „Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data “

I General.- 1 Hyperspectral Sensors and Applications.- 2 Overview of Image Processing.- II Theory.- 3 Mutual Information: A Similarity Measure for Intensity Based Image Registration.- 4 Independent Component Analysis.- 5 Support Vector Machines.- 6 Markov Random Field Models.- Ill Applications.- 7 MI Based Registration of Multi-Sensor and Multi-Temporal Images.- 8 Feature Extraction from Hyperspectral Data Using ICA.- 9 Hyperspectral Classification Using ICA Based Mixture Model.- 10 Support Vector Machines for Classification of Multi- and Hyperspectral Data.- 11 An MRF Model Based Approach for Sub-pixel Mapping from Hyperspectral Data.- 12 Image Change Detection and Fusion Using MRF Models.- Color Plates.

Bibliographische Angaben

Autoren: Pramod K. Varshney , Manoj K. Arora
2004, 2004, 323 Seiten, Masse: 16 x 24,1 cm, Gebunden, Englisch
Herausgegeben: Pramod K. Varshney, Manoj K. Arora
Verlag: Springer
ISBN-10: 3540216685
ISBN-13: 9783540216681
Erscheinungsdatum: 12.08.2004

Sprache:

Englisch

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