@inproceedings{eac171b78472444cb71ee513c24d166a,
title = "An Automated Workflow for Pixel-Level BRDF Extraction Using UAV-Based Multispectral Images",
abstract = "Bidirectional Reflectance Distribution Function (BRDF) plays a vital role in quantitative remote sensing. Recently, UAV has gradually emerged as the leading choice for BRDF acquirement. However, challenges remain in extracting usable BRDF data from UAV multispectral images (MSIs), including labor-intensive and limited accuracy. To tackle these challenges, an automated workflow for pixel-level BRDF extraction is proposed in this paper, comprising two main stages: 3D reconstruction and back projection. Pixel-level accuracy is achieved through 3D reconstruction, enhanced by the integration of commercial software for streamlined automation. Back projection is critical for precise location. Experiments were carried out for both selected ROIs and all pixel areas, validating the efficacy of our proposed approach.",
keywords = "3D construction, BRDF, BRDF extraction, MSI, UAV",
author = "Zhenqiang Qin and Xian Li and Yanfeng Gu and Xiangrong Zhang",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 ; Conference date: 07-07-2024 Through 12-07-2024",
year = "2024",
doi = "10.1109/IGARSS53475.2024.10641809",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6580--6583",
booktitle = "IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",
address = "美国",
}