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...

Descripción completa

Detalles Bibliográficos

Autores principales:	Wen Dai, Ruibo Qiu, Bo Wang, Wangda Lu, Guanghui Zheng, Solomon Obiri Yeboah Amankwah, Guojie Wang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2023-08-01
Colección:	Remote Sensing
Materias:	UAV-SfM spatial distribution of errors terrain modeling image collection strategies ground control points
Acceso en línea:	https://www.mdpi.com/2072-4292/15/17/4305
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!