Wavelets for Sensing Technologies

by Andrew K. Chan, Cheng Peng

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.

246 pages, Hardcover

First published October 1, 2003