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)… Read More
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Temporal Mapping of Hyperspectral Data
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… Read More
CONGRATULATIONS TO OUR LABMATE CALEB ROBEY FOR ACCEPTING A JOB AT TEXAS INSTRUMENTS AN EMBEDDED PROCESSORS APPLICATIONS ENGINEER！
Congratulations to our labmate Caleb Robey for accepting a job at Texas Instruments as an Embedded Processors Applications Engineer!
GatorSense Hosts UF Student Science Training Program Students
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… Read More
Congratulations to Our Labmate Yutai Zhou for getting an Internship at MIT Lincoln Labs!
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… Read More
Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks
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… Read More
Congratulations to Our Labmate Daniel Suen for being accepted by University of Washington!
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 CDM Smith!
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 as a Software Engineer II！
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… Read More
Welcome new Post-doctoral Scientist Rene Heim!
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… Read More