English

BOSC: A toolbox for aerial imagery mapping

Computer Vision and Pattern Recognition 2024-06-11 v1

Abstract

Accurate and efficient label of aerial images is essential for informed decision-making and resource allocation, whether in identifying crop types or delineating land-use patterns. The development of a comprehensive toolbox for manipulating and annotating aerial imagery represents a significant leap forward in remote sensing and spatial analysis. In this report, we introduce BOSC, a toolbox that enables researchers and practitioners to extract actionable insights with unprecedented accuracy and efficiency, addressing a critical need in today's abundance of drone and satellite resources. For more information or to explore BOSC, please visit our repository.

Keywords

Cite

@article{arxiv.2406.05833,
  title  = {BOSC: A toolbox for aerial imagery mapping},
  author = {Ricard Durall and Laura Montilla and Esteban Durall},
  journal= {arXiv preprint arXiv:2406.05833},
  year   = {2024}
}
R2 v1 2026-06-28T16:58:51.052Z