Work

GeoPOINT – synthetic point generator for geospatial applications

Year: 2025

Type: software-paper

Abstract: GeoPOINT is an open-source Python tool for generating, transforming, and analyzing 3D point datasets under geospatial constraints. It combines symbolic mathematics with white-box optimization to simulate realistic transformation scenarios, including rotation, translation, and measurement noise. It supports both synthetic clouds (ideal, Gaussian noise, geodetic error models) and real data in PCD/CSV formats. Rigid-body transformations can be applied with configurable noise and bias, enabling controlled testing of geodetic error propagation. Delivered as a Jupyter notebook, GeoPOINT is suitable for testing transformation accuracy, analyzing numerical stability, and teaching geodetic concepts. Its flexible architecture enables reproducible experiments, making it valuable for research, education, and offshore or mobile surveying applications.

Source: SoftwareX

DOI: 10.1016/j.softx.2025.102415

Authors: Grzegorz Stępień, Karol Kabała, Jakub Śledziowski

Institutions: Maritime University of Szczecin, University of Szczecin

Language: English

Topic: 3D Surveying and Cultural Heritage

Subfield: Geology

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,200

Funder: Ministerstwo Edukacji i Nauki