Multi-temporal orthophoto and digital surface model registration produced from UAV imagery over an agricultural field
Author:
Affiliation:
1. Department of Civil Engineering, Seoul National University of Science and Technology, Seoul, Republic of Korea
2. Lyles School of Civil Engineering, Purdue University, West Lafayette, IN, USA
Funder
Seoul National University of Science and Technology
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2143913
Reference53 articles.
1. An Image-Based Approach for the Co-Registration of Multi-Temporal UAV Image Datasets
2. Remote sensing for irrigated agriculture: examples from research and possible applications
3. Speeded-Up Robust Features (SURF)
4. An automatic image registration for applications in remote sensing
5. A Coarse-to-Fine Geometric Scale-Invariant Feature Transform for Large Size High Resolution Satellite Image Registration
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