Enhancing UAV-SfM Photogrammetry for Terrain Modeling from the Perspective of Spatial Structure of Errors

Enhancing UAV-SfM Photogrammetry for Terrain Modeling from the Perspective of Spatial Structure of Errors

UAV-SfM photogrammetry is widely used in remote sensing and geoscience communities. Scholars have tried to optimize UAV-SfM for terrain modeling based on analysis of error statistics like root mean squared error (RMSE), mean error (ME), and standard deviation (STD). However, the errors of terrain mo...

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Bibliographic Details
Main Authors:	Wen Dai, Ruibo Qiu, Bo Wang, Wangda Lu, Guanghui Zheng, Solomon Obiri Yeboah Amankwah, Guojie Wang
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Series:	Remote Sensing
Subjects:	UAV-SfM spatial distribution of errors terrain modeling image collection strategies ground control points
Online Access:	https://www.mdpi.com/2072-4292/15/17/4305

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