Jorge Olano Canales
Biographic Data
| ID | 6450742 |
|---|---|
| NAME | Jorge Olano Canales |
| GIVEN NAMES | Jorge Olano |
| FAMILY NAME | Canales |
| SIGNATURE | CANALES J O |
| AFFILIATIONS | Université Paris 1 Panthéon-Sorbonne |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Accelerating the discovery of new Nasca geoglyphs using deep learning
We discuss an archaeological research of employing deep learning (DL) based object detection on high-resolution aerial photographs to discover Nasca geoglyphs, which have been designated as a UNESCO World Heritage Site. Owing to extremely limited archaeological ground truth data and their differences in scale and design, it is difficult to detect new geoglyphs merely training DL on the known geoglyphs. Therefore, we developed a pipeline of DL to …
Accelerating the discovery of new Nasca geoglyphs using deep learning
We discuss an archaeological research of employing deep learning (DL) based object detection on high-resolution aerial photographs to discover Nasca geoglyphs, which have been designated as a UNESCO World Heritage Site. Owing to extremely limited archaeological ground truth data and their differences in scale and design, it is difficult to detect new geoglyphs merely training DL on the known geoglyphs. Therefore, we developed a pipeline of DL to …
Accelerating the discovery of new Nasca geoglyphs using deep learning
We discuss an archaeological research of employing deep learning (DL) based object detection on high-resolution aerial photographs to discover Nasca geoglyphs, which have been designated as a UNESCO World Heritage Site. Owing to extremely limited archaeological ground truth data and their differences in scale and design, it is difficult to detect new geoglyphs merely training DL on the known geoglyphs. Therefore, we developed a pipeline of DL to …
Archaeological Research and Protection (1 work) · Archaeology (1 work) · Archaeology and ancient environmental studies (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Deep learning (1 work) · Field (mathematics (1 work) · Forensic Anthropology and Bioarchaeology Studies (1 work) · Geography (1 work) · Geology (1 work)