Graduate student Purdue University West Lafayette, Indiana, United States
This research aims to classify tree species using UAV RGB images and evaluate the performance of state-of-the-art models. Five deep-learning models are trained with datasets collected from three seasons. All models perform the best on summer images. The model trained in one season can't transfer well to another.
Learning Objectives:
Upon completion, participants will be able to know the performance of the state-of-the-art models on tree species classification tasks using UAV RGB images.
Upon completion, participants will understand the differences between the five models, different seasons, and species.
