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.
Or split into 4x interest-free payments of 25% on orders over R50
Learn more
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.
Imprint | Springer-Verlag |
Country of origin | Germany |
Release date | August 2004 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2004 |
Authors | Pramod K. Varshney, Manoj K. Arora |
Dimensions | 235 x 155 x 23mm (L x W x T) |
Format | Hardcover |
Pages | 323 |
Edition | 2004 ed. |
ISBN-13 | 978-3-540-21668-1 |
Barcode | 9783540216681 |
Categories | |
LSN | 3-540-21668-5 |