Congratulations to our labmates, Hudanyun Sheng and Princess Lyons, for successful Master’s defenses! Hudanyun conducted work on “Switchgrass Genotype Classification using Hyperspectral Imagery”, while Princess investigated “Anomaly and Target Detection in Synthetic Aperture Sonar”. Great job, you two!
Month: October 2019
Trung Tran Obtains Microsoft Internship
Congratulations to our labmate, Trung Tran, for obtaining an internship at Microsoft HQ! Trung will be working as a Program Manager Intern in Microsoft’s Cloud & AI Security Team during Summer 2020. Enjoy the beautiful Seattle summer, Trung!
Meerdink and Fick Present at WHISPERS 2019
Our labmates, Ron Fick and Susan Meerdink, recently presented at the 2019 IEEE WHISPERS conference in Amsterdam! The WHISPERS conference is an international workshop focusing on advances in remote sensing with hyperspectral data. Ron presented on his paper, titled “Temporal… Read More
Zou Accepted to Biosystems Engineering
Congratulations to our labmate, Sheng Zou, and his collaborators: Y. Tseng, A. Zare, D. Rowland, B. Tillman and S. Yoon! Their paper, “Peanut Maturity Classification using Hyperspectral Imagery”, was recently accepted to Biosystems Engineering. This paper describes a method which… Read More
Peanut Maturity Classification using Hyperspectral Imagery
Abstract: Seed maturity in peanut ( Arachis hypogaea L.) determines economic return to a producer because of its impact on seed weight, and critically influences seed vigor and other quality characteristics. During seed development, the inner mesocarp layer of the… Read More
Hybrid data-driven physics model-based framework for enhanced cyber-physical smart grid security
Abstract: This paper presents a hybrid data-driven physics model-based framework for real time monitoring in smart grids. As the power grid transitions to the use of smart grid technology, it’s real time monitoring becomes more vulnerable to cyber attacks like… Read More
Cross-site learning in deep learning RGB tree crown detection
Abstract: Tree detection is a fundamental task in remote sensing for forestry and ecosystem ecology applications. While many individual tree segmentation algorithms have been proposed, the development and testing of these algorithms is typically site specific, with few methods evaluated… Read More