Unveiling Ancient Maya Settlements Using Aerial LiDAR Image Segmentation

arXiv:2403.05773v1 Announce Type: new
Abstract: Manual identification of archaeological features in LiDAR imagery is labor-intensive, costly, and requires archaeological expertise. This paper shows how recent advancements in deep learning (DL) present efficient solutions for accurately segmenting archaeological structures in aerial LiDAR images using the YOLOv8 neural network. The proposed approach uses novel pre-processing of the raw LiDAR data and dataset augmentation methods to produce trained YOLOv8 networks to improve accuracy, precision, and recall for the segmentation of two important Maya …

abstract aerial arxiv cs.cv deep learning expertise features identification image images labor lidar network neural network paper segmentation shows solutions type yolov8