Learning to Classify Structures in ALS-Derived Visualizations of Ancient Maya Settlements with CNN
Lidar in Mesoamerica since 2016: Acquisition, Ownership, and Accessibility « Archaeology « Cambridge Core Blog
LocalMapper (2022)
Žiga KOKALJ | Head of Department | PhD, Associate Professor | Research Centre of the Slovenian Academy of Sciences and Arts, Ljubljana | ZRC SAZU | Department of Remote Sensing
Raster lidar data visualizations for interpretation of microrelief structures
dLib.si - Ocenjevanje geometrične podobnosti oblakov točk aerolaserskega skeniranja
Raster lidar data visualizations for interpretation of microrelief structures dr. Žiga Kokalj ZRC SAZU Centre of Excellence for Space Sciences and Technologies. - ppt download
PDF) Airborne lidar and historic environment records | Keith Challis - Academia.edu
PDF) Airborne LiDAR data analysis within the Alpine landscapes of Trentino: a methodological approach | Paolo Forlin - Academia.edu
Space lidar for archaeology? Reanalyzing GEDI data for detection of ancient Maya buildings - ScienceDirect
Openness as Visualization Technique for Interpretative Mapping of Airborne Lidar Derived Digital Terrain Models
Different visualizations and used data sources of the mountain battlefield on the Soča/Isonzo front line: International Journal of Cartography: Vol 4, No 3
BOUNCING BEAMS REVEAL HIDDEN ARCHAEOLOGY
Geodetski vestnik 65/2 by mojca foski - Issuu
Žiga Kokalj, PhD | ZRC SAZU
Ground elevations of GEDI and Airborne laser scanning data along... | Download Scientific Diagram
Kokalj – Podiplomska šola ZRC SAZU
Airborne laser scanning raster data visualization | ZRC SAZU
LocalMapper - गृहपृष्ठ | Facebook
LIDAR | Computational Archaeology
Žiga Kokalj: Airborne laser scanning raster data visualization (Novinarska konferenca Založbe ZRC) - YouTube
PDF) Airborne laser scanning raster data visualization: A Guide to Good Practice
Individual GEDI beams from eight laser strips as acquired around the... | Download Scientific Diagram
VAT Method for Visualization of Mass Movement Features: An Alternative to Hillshaded DEM
Remote Sensing and Image Understanding as Reflected
