Commitment to a Safe and Inclusive Learning Environment The Machine Learning and Sensing Lab and Herbert Wertheim College of Engineering values broad diversity within our community and is committed to individual and group empowerment, inclusion, and the elimination of discrimination.… Read More
Month: August 2019
Back to School!
Classes begin this week in the Swamp and all of us in the Gator Sense lab could not be more excited! Fall in Gainesville means football (go Gators!), the end to a rainy, rainy summer, and most importantly, new research… Read More
Evaluation of image features for discriminating targets from false positives in synthetic aperture sonar imagery
Abstract: With the increasing popularity of using autonomous underwater vehicles (AUVs) to gather large quantities of Synthetic Aperture Sonar (SAS) seafloor imagery, the burden on human operators to identify targets in these seafloor images has increased significantly. Existing methods of… Read More
Deep convolutional neural network target classification for underwater synthetic aperture sonar imagery
Abstract: In underwater synthetic aperture sonar (SAS) imagery, there is a need for accurate target recognition algorithms. Automated detection of underwater objects has many applications, not the least of which being the safe extraction of dangerous explosives. In this paper,… Read More
Rene Heim Published in Tropical Plant Pathology
Our labmate and postdoctoral researcher Rene Heim was recently published in Tropical Plant Pathology. His paper, titled “Breaking down barriers between remote sensing and plant pathology”, elucidates current hindrances present in interdisciplinary science. Rene and co-authors specifically address obstacles between… Read More
Breaking down barriers between remote sensing and plant pathology
Abstract: A critical component for enhancing productivity and quality of food and fiber is the ability to quickly detect and monitor plant diseases in order to prevent or minimize losses to agricultural and forest products (Mahlein 2016). The earlier (prior to… Read More
Susan Meerdink Published in Remote Sensing of Environment
Our labmate and postdoctoral researcher Susan Meerdink recently published three papers in Remote Sensing of Environment. These publications feature a publicly available spectral library, thermal research using an airborne spectrometer, and temporal classification of plant species. Check them out here: “The… Read More
Classifying California plant species temporally using airborne hyperspectral imagery
Abstract: Accurate knowledge of seasonal and inter-annual distributions of plant species is required for many research and management agendas that track ecosystem health. Airborne imaging spectroscopy data have been used successfully to map plant species, but often only in a… Read More
Plant species’ spectral emissivity and temperature using the hyperspectral thermal emission spectrometer (HyTES) sensor
Abstract: The thermal domain (TIR; 2.5–15 μm) delivers unique measurements of plant characteristics that are not possible in other parts of the electromagnetic spectrum. However, these TIR measurements have largely been restricted to laboratory leaf level or coarse spatial resolutions… Read More
The ECOSTRESS spectral library version 1.0. Remote Sensing of Environment
Abstract: In June 2018, the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission was launched to measure plant temperatures and better understand how they respond to stress. While the ECOSTRESS mission delivers imagery with ~60 m spatial resolution,… Read More