Cargando…
A PCA‐Based Framework for Determining Remotely Sensed Geological Surface Orientations and Their Statistical Quality
The orientations of planar rock layers are fundamental to our understanding of structural geology and stratigraphy. Remote sensing platforms including satellites, unmanned aerial vehicles, and Light Detection and Ranging scanners are increasingly used to build three‐dimensional models of structural...
Autores principales: | Quinn, D. P., Ehlmann, B. L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6853252/ https://www.ncbi.nlm.nih.gov/pubmed/31763373 http://dx.doi.org/10.1029/2018EA000416 |
Ejemplares similares
-
Composition, Stratigraphy, and Geological History of the Noachian Basement Surrounding the Isidis Impact Basin
por: Scheller, Eva L., et al.
Publicado: (2020) -
Extraction and visualization of orientation data from virtual geologic surfaces with MATLAB®
por: Welker, Avery J., et al.
Publicado: (2019) -
Spatial statistics for remote sensing
por: Gorte, Ben, et al.
Publicado: (1999) -
Design and Experiments of a Water Color Remote Sensing-Oriented Unmanned Surface Vehicle
por: Li, Yong, et al.
Publicado: (2020) -
A Geospatial Information Grid Framework for Geological Survey
por: Wu, Liang, et al.
Publicado: (2015)