Remote Sensing Change Detection for Disaster Management

Speaker: Prof. Stanley R. Rotman
Affiliation: Ben-Gurion University of the Negev, Beer-Sheva, Israel

Different remote sensing sensors bring with them different capabilities. SAR (Synthetic Aperture Radar) provides both amplitude and phase information, allowing the detection of relatively small changes in the area. Optical data in general will have the best spatial resolution, while being very sensitive to changes in the atmospheric conditions. Multispectral and hyperspectral data provide accurate spectral information with reduced spatial resolution capability. In this talk, we will examine these sensors and consider how they can be combined to get an accurate picture of what has happened in disaster scenarios. In particular, we will consider before and after images of the tsunami at Sendai, Japan. The SAR images enable us to see where change has occurred. The multispectral images will distinguish seasonal changes of vegetation from that caused by the tsunami. Particular regions damaged or not damaged by the tsunami will be considered.

Stanley R. Rotman was born in Boston Massachusetts in 1958. He received the B.S., M.S. and Ph.D. degrees in Electrical Engineering from the Massachusetts Institute of Technology, in 1979, 1980 and 1985, respectively. His present position is full professor at Ben-Gurion University of the Negev, Dept. of Electrical and Computer Engineering, Beer-Sheva, Israel. His main research areas are: modeling target acquisition by infrared sensors, spectroscopy of solid-state laser material, investigating non-radiative energy transfer in solid-state materials. medical image processing and digital image processing. He is a member of SPIE, IEEE, and The Optical Society (OSA).

Hosted by The Optical Society (OSA) and SPIE Student Chapter Seminar and Prof. Bahram Jalali ()

Food and Refreshments will be provided.

Date(s) - Aug 25, 2016
12:30 pm - 2:00 pm

E-IV Tesla Room #53-125
420 Westwood Plaza - 5th Flr., Los Angeles CA 90095