Towards general deep-learning-based tree instance segmentation models

arXiv:2405.02061v1 Announce Type: new
Abstract: The segmentation of individual trees from forest point clouds is a crucial task for downstream analyses such as carbon sequestration estimation. Recently, deep-learning-based methods have been proposed which show the potential of learning to segment trees. Since these methods are trained in a supervised way, the question arises how general models can be obtained that are applicable across a wide range of settings. So far, training has been mainly conducted with data from one specific …

arxiv cs.cv general instance segmentation tree type