Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Iban Berganzo-Besga"'
Autor:
Iban Berganzo-Besga, Hector A. Orengo, Felipe Lumbreras, Aftab Alam, Rosie Campbell, Petrus J. Gerrits, Jonas Gregorio de Souza, Afifa Khan, María Suárez-Moreno, Jack Tomaney, Rebecca C. Roberts, Cameron A. Petrie
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract This paper presents two algorithms for the large-scale automatic detection and instance segmentation of potential archaeological mounds on historical maps. Historical maps present a unique source of information for the reconstruction of anci
Externí odkaz:
https://doaj.org/article/f437ad95033d497a8024585f3b998233
Publikováno v:
Land, Vol 11, Iss 11, p 1964 (2022)
This paper presents a method for the merging of lidar-derived point clouds of the same area taken at different moments, even when these are not co-registered. The workflow also incorporates the filtering of vegetation allowing the classification of u
Externí odkaz:
https://doaj.org/article/aeec06f7b81f48bfab655b14a4ac773b
Autor:
Iban Berganzo-Besga, Hector A. Orengo, Felipe Lumbreras, Miguel Carrero-Pazos, João Fonte, Benito Vilas-Estévez
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4181 (2021)
This paper presents an algorithm for large-scale automatic detection of burial mounds, one of the most common types of archaeological sites globally, using LiDAR and multispectral satellite data. Although previous attempts were able to detect a good
Externí odkaz:
https://doaj.org/article/99bc46c61b5c47e6bec2b734d914c312
Automated detection and classification of multi-cell Phytoliths using Deep Learning-Based Algorithms
Publikováno v:
Journal of Archaeological Science. 148:105654
Publikováno v:
Land; Volume 11; Issue 11; Pages: 1964
This paper presents a method for the merging of lidar-derived point clouds of the same area taken at different moments, even when these are not co-registered. The workflow also incorporates the filtering of vegetation allowing the classification of u