Abstract: The spectral signatures of the materials contained in hyperspectral images (HI), also called endmembers (EM), can be significantly affected by variations in atmospheric, illumination or environmental conditions typically occurring within an HI. Traditional spectral unmixing (SU) algorithms neglect the… Read More
Month: January 2020
Stewart Obtains Internship at Naval Surface Warfare Center
Our labmate, Dylan Stewart, recently accepted an internship offer from the Naval Surface Warfare Center in Panama City Beach, FL. Dylan has been researching image registration approaches for use in both underwater and aerial scene understanding. During his internship, Dylan… Read More
GatorSense Featured by UF ECE!
The Machine Learning and Sensing Lab was recently featured by UF ECE! Their article featured the lab’s collaboration with agricultural researchers at the UF Beef Research Unit. Check out what our labmate, Dylan Stewart, is working on in the full… Read More
SWITCHGRASS GENOTYPE CLASSIFICATION USING HYPERSPECTRAL IMAGERY
Abstract: The adoption of remote sensing techniques in plant science enables noninvasive or minimally invasive measurement, which is also time and labor saving when compared to traditional field measurements. In this thesis, a method to distinguish switchgrass genotypes with the… Read More
ANOMALY AND TARGET DETECTION IN SYNTHETIC APERTURE SONAR
Abstract: Automated anomaly and target detection are commonly used as a prescreening step within a larger target detection and target classification framework to find regions of interest for further analysis. Many anomaly and target detection algorithms in the literature have… Read More