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A fast and effective deep learning approach for road extraction from historical maps by automatically generating training data with symbol reconstruction

International journal of applied earth observation and geoinformation, 2022-09, Vol.113, p.102980, Article 102980

2022

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Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation

International journal of applied earth observation and geoinformation, 2024-05, Vol.129, p.103837, Article 103837

2024

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Leveraging uncertainty estimation and spatial pyramid pooling for extracting hydrological features from scanned historical topographic maps

GIScience and remote sensing, 2022-12, Vol.59 (1), p.200-214

2022

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Scale- and Resolution-Adapted Shaded Relief Generation Using U-Net

ISPRS international journal of geo-information, 2024-09, Vol.13 (9), p.326

2024

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Terrain Segmentation Using a U-Net for Improved Relief Shading

ISPRS international journal of geo-information, 2022-07, Vol.11 (7), p.395

2022

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Stress tests for a road network using fragility functions and functional capacity loss functions

Reliability engineering & system safety, 2018-05, Vol.173, p.78-93

2018

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Cartographic reconstruction of building footprints from historical maps: A study on the Swiss Siegfried map

Transactions in GIS, 2020-04, Vol.24 (2), p.442-461

2020

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A systematic view on data descriptors for the visual analysis of tabular data

Information visualization, 2017-07, Vol.16 (3), p.232-256

2017

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The Light Source Metaphor Revisited—Bringing an Old Concept for Teaching Map Projections to the Modern Web

ISPRS international journal of geo-information, 2019-03, Vol.8 (4), p.162

2019

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A survey of road feature extraction methods from raster maps

Transactions in GIS, 2021-12, Vol.25 (6), p.2734-2763

2021

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A novel framework for road vectorization and classification from historical maps based on deep learning and symbol painting

Computers, environment and urban systems, 2024-03, Vol.108, p.102060, Article 102060

2024

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Domain adaptation in segmenting historical maps: A weakly supervised approach through spatial co-occurrence

ISPRS journal of photogrammetry and remote sensing, 2023-03, Vol.197, p.199-211

2023

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Cartographic Relief Shading with Neural Networks

IEEE transactions on visualization and computer graphics, 2021-02, Vol.27 (2), p.1225-1235

2021

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A Design Space of Visualization Tasks

IEEE transactions on visualization and computer graphics, 2013-12, Vol.19 (12), p.2366-2375

2013

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Unlocking the Geospatial Past with Deep Learning – Establishing a Hub for Historical Map Data in Switzerland

Abstracts of the ICA (Online), 2019-07, Vol.1, p.1-2

2019

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The State of the Art in Map‐Like Visualization

Computer graphics forum, 2020-06, Vol.39 (3), p.647-674

2020

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Utilizing convolutional neural networks to extract road features from Swiss historical maps

Abstracts of the ICA (Online), 2021-12, Vol.3, p.1-2

2021

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A CLOSER LOOK AT SEGMENTATION UNCERTAINTY OF SCANNED HISTORICAL MAPS

International archives of the photogrammetry, remote sensing and spatial information sciences., 2022, Vol.XLIII-B4-2022, p.189-194

2022

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Estimating network related risks: A methodology and an application in the transport sector

Natural hazards and earth system sciences, 2018-08, Vol.18 (8), p.2273-2293

2018

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CNN-BASED TEMPLATE MATCHING FOR DETECTING FEATURES FROM HISTORICAL MAPS

International archives of the photogrammetry, remote sensing and spatial information sciences., 2022, Vol.XLIII-B2-2022, p.1167-1173

2022

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Inferring implicit 3D representations from human figures on pictorial maps

Cartography and geographic information science, 2024-01, Vol.51 (1), p.97-113

2024

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Identifying anthropogenic legacy in freshwater ecosystems

Wiley interdisciplinary reviews. Water, 2024-07, Vol.11 (4), p.e1729-n/a

2024

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A NOVEL DATA AUGMENTATION METHOD TO ENHANCE THE TRAINING DATASET FOR ROAD EXTRACTION FROM SWISS HISTORICAL MAPS

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, 2022-01, Vol.V-2-2022, p.423-429

2022

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Impact Assessment of Extreme Hydrometeorological Hazard Events on Road Networks

Journal of infrastructure systems, 2020-06, Vol.26 (2)

2020

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GPU-Accelerated Rendering Methods to Visually Analyze Large-Scale Disaster Simulation Data

Journal of geovisualization and spatial analysis, 2017-12, Vol.1 (1-2), Article 3

2017

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A fast and effective deep learning approach for road extraction from historical maps by automatically generating training data with symbol reconstruction

Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation

Leveraging uncertainty estimation and spatial pyramid pooling for extracting hydrological features from scanned historical topographic maps

Scale- and Resolution-Adapted Shaded Relief Generation Using U-Net

Terrain Segmentation Using a U-Net for Improved Relief Shading

Stress tests for a road network using fragility functions and functional capacity loss functions

Cartographic reconstruction of building footprints from historical maps: A study on the Swiss Siegfried map

A systematic view on data descriptors for the visual analysis of tabular data

The Light Source Metaphor Revisited—Bringing an Old Concept for Teaching Map Projections to the Modern Web

A survey of road feature extraction methods from raster maps

A novel framework for road vectorization and classification from historical maps based on deep learning and symbol painting

Domain adaptation in segmenting historical maps: A weakly supervised approach through spatial co-occurrence

Cartographic Relief Shading with Neural Networks

A Design Space of Visualization Tasks

Unlocking the Geospatial Past with Deep Learning – Establishing a Hub for Historical Map Data in Switzerland

The State of the Art in Map‐Like Visualization

Utilizing convolutional neural networks to extract road features from Swiss historical maps

A CLOSER LOOK AT SEGMENTATION UNCERTAINTY OF SCANNED HISTORICAL MAPS

Estimating network related risks: A methodology and an application in the transport sector

CNN-BASED TEMPLATE MATCHING FOR DETECTING FEATURES FROM HISTORICAL MAPS

Inferring implicit 3D representations from human figures on pictorial maps

Identifying anthropogenic legacy in freshwater ecosystems

A NOVEL DATA AUGMENTATION METHOD TO ENHANCE THE TRAINING DATASET FOR ROAD EXTRACTION FROM SWISS HISTORICAL MAPS

Impact Assessment of Extreme Hydrometeorological Hazard Events on Road Networks

GPU-Accelerated Rendering Methods to Visually Analyze Large-Scale Disaster Simulation Data

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