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A BENCHMARK DATASET FOR INDIVIDUAL TREE CROWN DELINEATION IN CO-REGISTERED AIRBORNE RGB, LIDAR AND HYPERSPECTRAL IMAGERY FROM THE NATIONAL ECOLOGICAL OBSERVATION NETWORK

Abstract: Broad scale remote sensing promises to build forest inventories at unprecedented scales. A crucial step in this process is designing individual tree segmentation algorithms to associate pixels into delineated tree crowns. While dozens of tree delineation algorithms have been… Read More

WELCOME NEW PHD STUDENT AUSTIN KREULACH!

The Machine Learning and Sensing Lab is excited to welcome Austin Kreulach as a new Ph.D. student! Austin recently completed BS degrees in both Computer Science & Mathematics at the University of Arkansas in Fayetteville, AR. In our lab, Austin… Read More

WELCOME NEW PHD STUDENT CARRIE KUZIO!

The Machine Learning and Sensing Lab is excited to welcome Carrie Kuzio as a new Ph.D. student! Carrie recently completed BS degrees in both Electrical & Computer Engineering at Old Dominion University in Norfolk, VA. In our lab, Carrie will… Read More