HD-01: Advances on signal and image processing for remote sensing

Chi Hau Chen

Sunday, July 26
13:30 - 17:30

Abstract:

The tutorial will present advances on the topics of transform methods, statistical and support vector machine classification and machine learning as well as image modeling for remote sensing. The tutorial is based partly on selected chapters of the book, Signal and Image Processing for Remote Sensing, edited by C.H. Chen, second edition, CRC Press 2012.

A brief description of topics:
There have been an enormous amount of publications in recent years on signal and image processing for remote sensing problems. This tutorial however is focused on advances on basic signal and image processing approaches for SAR and hyperspectral images. In transform methods we will cover versions of PCA, ICA, EMD and other transforms that provide multi-component signal and image analysis in remote sensing. Statistical pattern recognition and support vector machines and machine learning continue to be important for classification problems in remote sensing. New image models can be much needed in certain types of remote sensing images. Examples are drawn from the book based partly on Chapters 2, 3, 15, 16, 17, 18, 19, 26 as well as chapters of other books in remote sensing.

Biography:

Chi Hau Chen (IEEE Life Fellow 2003, IEEE Fellow 1988) received his Ph.D. in electrical engineering from Purdue University in 1965. He has been a faculty member with the University of Massachusetts Dartmouth (UMass Dartmouth) since1968 where he is currently Chancellor Professor Emeritus. Dr. Chen was the Associate Editor of IEEE Trans. on Acoustics, Speech and Signal Processing from 1982 to 1986, Associate Editor on information processing of IEEE Trans. on Geoscience and Remote Sensing 1985 to 2000. He is also a Fellow of International Association of Pattern Recognition (IAPR, 1966) and a editorial Board Member of Pattern Recognition Journal since 2008. He is the book series editor for CRC Press on Signal and Image Processing with Earth Observation Data. In addition to the applications of statistical pattern recognition, he has been active with the signal and image processing of underwater acoustic signals, and ultrasonic data for NDE and medical imaging. He has published 33 books in his areas of research interest.