报告主题：Real Time Hyperspectral Target Detection

报 告 人：Chein-I Chang（University of Maryland, Baltimore County, USA）

报告时间：2016年7月19日（周二）上午9:00

报告地点：北校区图书馆西裙楼三楼报告厅

报告摘要：

Hyperspectral imaging can detect subtle targets such as weak targets, rare targets and moving targets which are very likely dominated by strong targets in many cases. One way to uncover these targets is real time process which detects these targets before they are overshadowed by subsequently detected targets. This talk discusses key elements and issues in designing real time processing algorithms and further presents most recent real time hyperspectral target algorithms developed in RSSIPL at UMBC according to two data acquisition formats, Band-Interleaved-Pixel/Sample (BIP/BIS) and Band SeQuential (BSQ).

报告人简介：

Dr, Chang has piublsihed over 150 referred publications including more than 50 journal articles in IEEE Transaction on Geoscience and Remote Sensing and has seven patents with several pending on hyperspectral image processing. He authored three books, Hyperspectral Imaging: Techniques for Spectral Detection and Classification (Kluwer Academic Publishers, 2003), Hyperspectral Data Processing: Algorithm Design and Analysis (Wiley, 2013), Real Time Hyperspectral Image Processing: Endmember Finding and Anomaly Detection (Springer, 2016) and Real-Time Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation (to be published by Springer, 2016). In addition, He edited two books, Recent Advances in Hyperspectral Signal and Image Processing (Trasworld Research Network, India, 2006) and Hyperspectral Data Exploitation: Theory and Applications (John Wiley & Sons, 2007) and co-edited with A. Plaza a book on High Performance Computing in Remote Sensing (CRC Press, 2007).

Dr. Chang has received his Ph.D. in Electrical Engineering from University of Maryland, College Park. He is a Fellow of IEEE and SPIE with contributions to hyperspectral image processing.