ECE Research Seminar (Virtual Event) – January 28 12:30
January 24, 2022
Please join us Friday, January 28 12:30-1:30 pm CT for our next ECE Research Seminar.
Anomaly Detection from Hyperspectral Remote Sensing Imagery
Jenny Du | du@ece.msstate.edu
Abstract: Anomaly detection from remote sensing images is to detect pixels whose spectral signatures are different from their background. Anomalies are often man-made targets. With such target signatures being unknown, anomaly detection has many important applications, such as water quality monitoring, crop stress surveying, and law enforcement related uses, where prior information of targets is often unavailable. The key to success is accurate background modeling. Anomaly detection from remote sensing images is challenging, because spatial coverage is very large and background is highly heterogeneous. Hyperspectral imaging with very high spectral resolution offers the advantage in background-anomaly separation. In this talk, the major techniques in anomaly detection from hyperspectral remote sensing images will be introduced, and the recent advances using transfer learning and deep learning for anomaly detection will be presented. Practical issues and future development trends will also be discussed.
Dr. Qian (Jenny) Du received her Ph.D. degree in Electrical Engineering from University of Maryland Baltimore County in 2000. Her research interests include hyperspectral remote sensing image analysis and applications, pattern recognition, and machine learning. Dr. Du is a Fellow of IEEE and SPIE—International Society for Optics and Photonics. Dr. Du has served on the editorial broad of several prestigious journals in remote sensing. She was the Editor-in-Chief for IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, leading its successful transition from a conventional hybrid journal to an open access journal. Dr. Du is among the world’s most-cited researchers, and has been named to Clarivate Analytics’ 2021 Highly Cited Researchers list due to the demonstration of her significant and broad influence in the past decade with highly cited papers ranking in the top 1% by citations in her field.
* For further information contact: Dr. Jenny Du | du@ece.msstate.edu | 662-325-2035
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The Department of Electrical and Computer Engineering at Mississippi State University consists of 27 faculty members (including 6 endowed professors), 7 professional staff, and over 700 undergraduate and graduate students with approximately 100 being at the Ph.D. level. With research expenditure of the department in excess of $11.94 million, the department houses the largest High Voltage Laboratory among North American universities. For more detailed information on the department, please visit our website www.ece.msstate.edu.