Spatially explicit spectral analysis of point clouds and geospatial data
Computational/analytical methods for explicit spectral analysis of spatial data. Python toolbox (PySESA) for efficient analysis of geospatial point clouds. Spectral quantities are spatially referenced in a continuous sense as random fields. Allows appropriate scaling of amplitude statistics by internal spatial correlations. Generic texture/roughness characterization and feature detection/classification.
spectral analysis point cloud texture roughness geospatial analysis remote sensing