Soil UAV Photogrammetry Dataset for Weak-Texture and Repetitive-Pattern Scenes

Name: Soil UAV Photogrammetry Dataset for Weak-Texture and Repetitive-Pattern Scenes
Creator: Shuhang Zhang
Published: 2026-05-09T01:41:02.146Z
Keywords: Unmanned Aerial Vehicle (Space Vehicle), Photogrammetry, Aerial Photography, Drone (Aircraft)

Zhang, Shuhang; He, Zhiqi; Cui, Yao; Pang, Yinning

doi:10.17632/n8xzhmn635.1

Soil UAV Photogrammetry Dataset for Weak-Texture and Repetitive-Pattern Scenes

Published: 9 May 2026| Version 1 | DOI: 10.17632/n8xzhmn635.1

Contributors:

Shuhang Zhang,

,

Description

This dataset provides 320 UAV RGB images of a large soil-dominated area (approximately 1.5 km x 1.7 km) with weak and repetitive textures, designed for benchmarking challenging photogrammetric tasks such as feature matching, SfM, MVS, and orthophoto generation. It includes onboard GNSS/IMU-based camera exterior orientation (without RTK/PPK), pre-calibrated camera interior parameters, and a Metashape project with 4 signalized ground control points for georeferencing and accuracy evaluation. The dataset is suitable for testing reconstruction robustness in low-texture and repetitive-pattern scenes.

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Institutions

Sun Yat-sen University
Guangdong, Guangzhou

Soil UAV Photogrammetry Dataset for Weak-Texture and Repetitive-Pattern Scenes

Description

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Institutions

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