Dataset from Zenodo · Mochuan Zhan
MSDI: a geo-tagged drone imagery for absolute visual localization
- License
- CC BY 4.0commercial use allowedLicense text
- This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
- Formats
- ZIP
- Size
- 2.3 GB
- Updated
- Jul 2, 2026
Description
The MSDI (Manchester Surface Drone Imagery) is a geo-imagery registration dataset. The dataset consists of a. 446 downward-facing drone images. b. 89 forward-facing(45-degree) drone images. c. 64 forward-facing (0-degree) drone images. d. parameter matrix of drone camera and transformation matrix. e. checkerboard images for camera calibration. This dataset is collected by Mochuan Zhan for his MSC project: Registration of UAV Imagery to Aerial and Satellite Imagery in the University of Manchester (2021/9 - 2022/9) which is supervised by Dr.Terence Morley. This project aims at developing a system that could perform efficient UAV visual localization through image registration based on local feature detectors and the technique of high-throughput computing. Notice: The corresponding satellite image from Google Map and Bing Map could be obtained by my program, Link: https://doi.org/10.5281/zenodo.6977652 A Ground Control Point (GCP) selector is provided for user to select GCP and create file with small effort. By registrating corresponding images, users could evaluate the performance of their registration techniques. The Imagery contains images of 8 Areas in Manchester: - Manchester…
Description from Zenodo, shortened.
Files (1)
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