Wavelets for Sensing Technologies
Published on 1. October 2003
Book
Hardback
252 pages
978-1-58053-317-1 (ISBN)
Description
Supported with over 600 equations and more than 100 illustrations, this reference focuses on the processing of signals from Synthetic Aperture Radar (SAR). Specific remote sensing applications presented in the book include noise and clutter reduction in SAR images, SAR image compression, texture and boundary enhancement in SAR images, directional noise removal and general image processing. You also find in-depth coverage of wavelet techniques for medical diagnostics from images. Other critical topics include artificial neural networks, the Markov random field and artificial intelligence.
More details
Edition
Unabridged edition
Language
English
Place of publication
Norwood
United States
Target group
Professional and scholarly
College/higher education
Edition type
Unabridged edition
ISBN-13
978-1-58053-317-1 (9781580533171)
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Schweitzer Classification
Persons
Andrew K. Chan is a professor of electromagnetics at Texas A&M University. Dr. Chan is a published author in major industry journals, including IEEE Transactions on Signal Processing and the International Journal of Numerical Modeling. He earned his Ph.D. at the University of Washington. Cheng Peng is currently with Texas Instruments Inc. He earned his Ph.D. in Electrical Engineering at Texas A&M University Aug. 2002. He published several papers in International Geoscience and Remote Sensing Symposium (IGARSS).
Content
Wavelet fundamentals; wavelet algorithms and associated techniques; wavelet applications to processing of SAR images; SAR image compression; detection and classification using wavelets in remote sensing; wavelet application to screening mammography.