[HTML][HTML] Artificial intelligence for trusted autonomous satellite operations
Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …
for aerospace applications have brought about new opportunities for the fast-growing …
Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
This paper brings a comprehensive systematic review of the application of geospatial
artificial intelligence (GeoAI) in quantitative human geography studies, including the …
artificial intelligence (GeoAI) in quantitative human geography studies, including the …
The evolution of humanitarian mapping within the OpenStreetMap community
B Herfort, S Lautenbach, J Porto de Albuquerque… - Scientific reports, 2021 - nature.com
In the past 10 years, the collaborative maps of OpenStreetMap (OSM) have been used to
support humanitarian efforts around the world as well as to fill important data gaps for …
support humanitarian efforts around the world as well as to fill important data gaps for …
Optical remote sensing image understanding with weak supervision: Concepts, methods, and perspectives
In recent years, supervised learning has been widely used in various tasks of optical remote
sensing image (RSI) understanding, including RSI classification, pixel-wise segmentation …
sensing image (RSI) understanding, including RSI classification, pixel-wise segmentation …
Combining deep learning and location-based ranking for large-scale archaeological prospection of LiDAR data from the Netherlands
WB Verschoof-van der Vaart, K Lambers… - … International Journal of …, 2020 - mdpi.com
This paper presents WODAN2. 0, a workflow using Deep Learning for the automated
detection of multiple archaeological object classes in LiDAR data from the Netherlands …
detection of multiple archaeological object classes in LiDAR data from the Netherlands …
Improving OpenStreetMap missing building detection using few‐shot transfer learning in sub‐Saharan Africa
OpenStreetMap (OSM) has been intensively used to support humanitarian aid activities,
especially in the Global South. Its data availability in the Global South has been greatly …
especially in the Global South. Its data availability in the Global South has been greatly …
A deep learning classification approach using high spatial satellite images for detection of built-up areas in rural zones: Case study of Souss-Massa region-Morocco
M Wahbi, I El Bakali, B Ez-zahouani, R Azmi… - Remote Sensing …, 2023 - Elsevier
The buildings in the rural areas of Morocco exist in various shapes and sizes. They are
randomly distributed and are generally constructed of primary materials such as clay, wood …
randomly distributed and are generally constructed of primary materials such as clay, wood …
[HTML][HTML] Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning
Large-scale mapping activities can benefit from the vastly increasing availability of earth
observation (EO) data, especially when combined with volunteered geographical …
observation (EO) data, especially when combined with volunteered geographical …
[HTML][HTML] Leveraging openstreetmap and multimodal remote sensing data with joint deep learning for wastewater treatment plants detection
Humans rely on clean water for their health, well-being, and various socio-economic
activities. During the past few years, the COVID-19 pandemic has been a constant reminder …
activities. During the past few years, the COVID-19 pandemic has been a constant reminder …
A human–AI collaboration workflow for archaeological sites detection
This paper illustrates the results obtained by using pre-trained semantic segmentation deep
learning models for the detection of archaeological sites within the Mesopotamian …
learning models for the detection of archaeological sites within the Mesopotamian …