Objective comparison of relief visualization techniques with deep CNN for archaeology

A modified Mask region‐based convolutional neural network approach for the automated detection of archaeological sites on high‐resolution light detection and ranging‐derived digital elevation models in the North German Lowland

(2021) Alexander Bonhage et al.   Archaeological Prospection

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

Learning to Classify Structures in ALS-Derived Visualizations of Ancient Maya Settlements with CNN

(2020) Maja Somrak et al.   Remote Sensing

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

(2019) Žiga Kokalj et al.   Remote Sensing

Bringing Lunar LiDAR Back Down to Earth: Mapping Our Industrial Heritage through Deep Transfer Learning

(2019) Gallwey et al.   Remote Sensing

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

Deep CNN-Based Blind Image Quality Predictor

(2018) Jongyoo Kim et al.   IEEE Transactions on Neural Networks and Learning Systems

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

The Highest Gradient Model: A New Method for Analytical Assessment of the Efficiency of LiDAR-Derived Visualization Techniques for Landform Detection and Mapping

(2017) Alfredo Mayoral et al.   Remote Sensing

An integral image approach to performing multi-scale topographic position analysis

(2015) J.B. Lindsay et al.   GEOMORPHOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Openness as Visualization Technique for Interpretative Mapping of Airborne Lidar Derived Digital Terrain Models

(2013) Michael Doneus   Remote Sensing

A Comparison of Visualization Techniques for Models Created from Airborne Laser Scanned Data

(2012) Rebecca Bennett et al.   Archaeological Prospection

Visualization of lidar-derived relief models for detection of archaeological features

(2012) Benjamin Štular et al.   JOURNAL OF ARCHAEOLOGICAL SCIENCE

Sky-View Factor as a Relief Visualization Technique

(2011) Klemen Zakšek et al.   Remote Sensing

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

(2009) J.D. Rodriguez et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE