Category: News

Abstract: Traditional methods of developing spectral libraries for unmixing hyperspectral images tend to require domain knowledge of the study area and the material’s spectra. In this paper, we propose using the Multiple Target Multiple Instance Adaptive Cosine/Coherence Estimator (Multi-Target MI-ACE) algorithm to develop spectral libraries that will capture the same spectral variability as traditional methods […]

Abstract: The increasing popularity of hyperspectral sensors is dramatically increasing the temporal availability of data. To date, algorithms struggle to compare hyperspectral data collected across dates due to different environmental conditions during collection. In this work, we develop a temporal mapping in order to map data collected from one year to a different year. We […]

Congratulations to our labmate Caleb Robey for accepting a job at Texas Instruments as an Embedded Processors Applications Engineer!

Our lab hosted two students, Brian and Tyler, from the UF Student Science Training Program (SSTP). Brian (mentored by Dylan Stewart) conducted his research project on a comparison of superpixel algorithms and Tyler (mentored by Joshua Peeples) conducted research on texture analysis using a new layer for artificial neural networks. Tyler was awarded the SSTP […]

Congratulations to our labmate Yutai Zhou for getting a summer internship with MIT Lincoln Labs! Yutai is the third consecutive student from our lab to intern at Lincoln Lab over the summer! Akira worked there in summer 2017 and Daniel worked there in summer 2018. Now it is Yutai’s turn. Congratulations, Yutai!

Abstract: Remote sensing can transform the speed, scale, and cost of biodiversity and forestry surveys. Data acquisition currently outpaces the ability to identify individual organisms in high resolution imagery. We outline an approach for identifying tree-crowns in true color, or red/green blue (RGB) imagery using a deep learning detection network. Individual crown delineation is a […]

Congratulations to our labmate Daniel Suen for being admitted to the Statistics PhD program at the University of Washington in Seattle, WA! This coming September, he will start the PhD program, and study statistical machine learning. Congratulations!

Congratulations to our labmate Daniel Shats for getting an Artificial Intelligence Internship at Camp Dresser & McKee Smith in Boston, Massachusetts!

Congratulations to our labmate James Bocinsky for accepting a job at American Express at their Sunrise, Florida location working as a Software Engineer II. Starting from June 24th, he will work in their dev/ops and infrastructure to use machine learning to help drive machine healing efforts for server process automation.

The Machine Learning and Sensing Lab is excited to welcome our newest lab member Rene Heim! Rene got his M.S. degree from Universität Hamburg, Germany and his Ph.D. degree from Macquarie University Sydney, Australia and Universität Ham-burg, Germany. He will be joining our lab as a Post-doctoral scientist and we are excited to be working […]