A PCA‐Based Framework for Determining Remotely Sensed Geological Surface Orientations and Their Statistical Quality - Quinn, D. P.; Ehlmann, B. L. (Earth and space science (Hoboken, N.J.), 2019)
Keywords: Accuracy; Bedding; Datasets; Error analysis; Geology; Geometry; Geospatial; Informatics; Instruments and Techniques; Mountains; orientation; PCA; Photogrammetry; Planetary Sciences: Solid Surface Planets; Principal components analysis; Quality; Remote Sensing; Software; statistics; Stratigraphy; Structural Geology; unmanned aerial vehicle; Unmanned aerial vehicles; Visualization