| Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data Contributor(s): Varshney, Pramod K. (Author), Arora, Manoj K. (Author) |
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ISBN: 3642060013 ISBN-13: 9783642060014 Publisher: Springer OUR PRICE: $265.99 Product Type: Paperback - Other Formats Published: November 2010 |
| Additional Information |
| BISAC Categories: - Science | Earth Sciences - Geography - Science | Earth Sciences - Geology - Technology & Engineering | Optics |
| Dewey: 006.37 |
| LCCN: 2004104167 |
| Physical Information: 0.8" H x 6.1" W x 9.1" (1.10 lbs) 323 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Over the last fifty years, a large number of spaceborne and airborne sensors have been employed to gather information regarding the earth's surface and environment. As sensor technology continues to advance, remote sensing data with improved temporal, spectral, and spatial resolution is becoming more readily available. This widespread availability of enormous amounts of data has necessitated the development of efficient data processing techniques for a wide variety of applications. In particular, great strides have been made in the development of digital image processing techniques for remote sensing data. The goal has been efficient handling of vast amounts of data, fusion of data from diverse sensors, classification for image interpretation, and development of user-friendly products that allow rich visualization. This book presents some new algorithms that have been developed for high- dimensional datasets, such as multispectral and hyperspectral imagery. The contents of the book are based primarily on research carried out by some members and alumni of the Sensor Fusion Laboratory at Syracuse University. |