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Visualization of lidar-derived relief models for detection of archaeological features
- Source :
- Journal of Archaeological Science, Journal of Archaeological Science, Elsevier, 2012, pp.3354-3360
- Publication Year :
- 2012
- Publisher :
- HAL CCSD, 2012.
-
Abstract
- International audience; This paper presents visualisation techniques of high-resolution digital elevation models (DEMs) for visual detection of archaeological features. The methods commonly used in archaeology are reviewed and improvements are suggested. One straightforward technique that has so far not been used in archaeologye the shift method e is presented. The main purpose of this article is to compare and evaluate different visualisation methods. Two conclusions have been reached. Where a single method must be chosen e for printing or producing digital images for non-professionals e the use of sky view factor or slope gradient is endorsed, both presented in greyscale. Otherwise interpreters should choose different techniques on different terrain types: shift on flat terrain, sky viewfactor on mixed terrain, slope gradient on sloped terrain and sky view factor (preferably as a composite image with slope gradient) on rugged terrain.
- Subjects :
- Archeology
Slovénie
[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing
010504 meteorology & atmospheric sciences
[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory
Terrain
[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing
01 natural sciences
Grayscale
Composite image filter
MNT
[ SDE.IE ] Environmental Sciences/Environmental Engineering
[ SDE ] Environmental Sciences
Digital image
visualisation
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
0601 history and archaeology
slovenia
Digital elevation model
lidar
visualization
0105 earth and related environmental sciences
Remote sensing
060102 archaeology
[SDE.IE]Environmental Sciences/Environmental Engineering
archéologie
sky view factor
DEM
archaeology
06 humanities and the arts
Archaeology
Visualization
Lidar
[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistory
[SDE]Environmental Sciences
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Geology
Street canyon
Subjects
Details
- Language :
- English
- ISSN :
- 03054403 and 10959238
- Database :
- OpenAIRE
- Journal :
- Journal of Archaeological Science, Journal of Archaeological Science, Elsevier, 2012, pp.3354-3360
- Accession number :
- edsair.doi.dedup.....0a8eb4027cc4fd6e5115cee2ffcca012