BOSC: A toolbox for aerial imagery mapping

TL;DR

BOSC is a comprehensive toolbox designed to improve the accuracy and efficiency of labeling and analyzing aerial imagery, facilitating better decision-making in remote sensing applications.

Contribution

The paper introduces BOSC, a new toolbox that enhances aerial image manipulation and annotation, filling a critical gap in remote sensing tools.

Findings

Improves accuracy of aerial image labeling

Increases efficiency of image annotation processes

Supports diverse remote sensing applications

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.