Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data
| Author | : Pramod K. Varshney |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 344 |
| Release | : 2013-03-09 |
| ISBN-10 | : 9783662056059 |
| ISBN-13 | : 3662056054 |
| Rating | : 4/5 (054 Downloads) |
Download or read book Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data written by Pramod K. Varshney and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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