Hybrid MSRM-Based Deep Learning and Multitemporal Sentinel 2-Based Machine Learning Algorithm Detects Near 10k Archaeological Tumuli in North-Western Iberia

Potential of deep learning segmentation for the extraction of archaeological features from historical map series

(2021) Arnau Garcia‐Molsosa et al.   Archaeological Prospection

New developments in drone‐based automated surface survey: Towards a functional and effective survey system

(2021) Hector A. Orengo et al.   Archaeological Prospection

Deep learning reveals extent of Archaic Native American shell-ring building practices

(2021) Dylan S. Davis et al.   JOURNAL OF ARCHAEOLOGICAL SCIENCE

Límites y posibilidades de los análisis LiDAR aplicados al megalitismo asturiano. Revisión de cuatro conjuntos tumulares prehistóricos en el concejo de Salas (España)

(2021) Fernando Rodriguez del Cueto et al.   Veleia

Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq

(2020) Mehrnoush Soroush et al.   Remote Sensing

Combining Deep Learning and Location-Based Ranking for Large-Scale Archaeological Prospection of LiDAR Data from The Netherlands

(2020) Wouter B. Verschoof-van der Vaart et al.   ISPRS International Journal of Geo-Information

Automated detection of archaeological mounds using machine-learning classification of multisensor and multitemporal satellite data

(2020) Hector A. Orengo et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Automated mapping of cultural heritage in Norway from airborne lidar data using faster R-CNN

(2020) Øivind Due Trier et al.   International Journal of Applied Earth Observation and Geoinformation

Why Not a Single Image? Combining Visualizations to Facilitate Fieldwork and On-Screen Mapping

(2019) Žiga Kokalj et al.   Remote Sensing

A brave new world for archaeological survey: Automated machine learning-based potsherd detection using high-resolution drone imagery

(2019) H.A. Orengo et al.   JOURNAL OF ARCHAEOLOGICAL SCIENCE

Multi-scale relief model (MSRM): a new algorithm for the visualization of subtle topographic change of variable size in digital elevation models

(2018) Hector A. Orengo et al.   EARTH SURFACE PROCESSES AND LANDFORMS

Detecting Neolithic Burial Mounds from LiDAR-Derived Elevation Data Using a Multi-Scale Approach and Machine Learning Techniques

(2018) Alexandre Guyot et al.   Remote Sensing

Using deep neural networks on airborne laser scanning data: Results from a case study of semi-automatic mapping of archaeological topography on Arran, Scotland

(2018) Øivind Due Trier et al.   Archaeological Prospection

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Large-Scale, Multi-Temporal Remote Sensing of Palaeo-River Networks: A Case Study from Northwest India and its Implications for the Indus Civilisation

(2017) Hector Orengo et al.   Remote Sensing

Mapping patterns of long-term settlement in Northern Mesopotamia at a large scale

(2012) B. H. Menze et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A Generic Toolkit for the Visualization of Archaeological Features on Airborne LiDAR Elevation Data

(2011) Keith Challis et al.   Archaeological Prospection

Sky-View Factor as a Relief Visualization Technique

(2011) Klemen Zakšek et al.   Remote Sensing

LiDAR-derived Local Relief Models - a new tool for archaeological prospection

(2010) Ralf Hesse   Archaeological Prospection