Antarctic Weak-Textured UAV Orthophoto Mapping Dataset for DG-SLAM
Published: 15 May 2026| Version 2 | DOI: 10.17632/s5w4r9ftbr.2
Contributors:
, , Shuhang Zhang, , , Description
This repository provides imagery datasets and results for the paper "DG-SLAM: A Hybrid Direct-Georeferencing and SLAM Framework for Real-Time Orthophoto Mapping in Weak-textured Environments". It includes two Antarctic image datasets, Seal_Bay and Slump, with raw UAV imagery and corresponding processing results, plus Soil result products (the Soil raw imagery is released separately). The package provides orthomosaics, trajectories, camera parameters, and Metashape-based reference outputs for benchmarking georeferencing and mapping performance under challenging low-texture conditions; it also contains an Edm comparison subset related to OpenREALM (ICUAS 2020, DOI: 10.1109/ICUAS48674.2020.9213960).
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Institutions
- Sun Yat-Sen UniversityGuangdong, Guangzhou
- National University of Defense TechnologyHunan, Changsha
Categories
Unmanned Aerial Vehicle (Space Vehicle), Antarctica, Photogrammetry, Aerial Photography