Geocomputation and geospatial artificial intelligence (GeoAI) have essential roles in
advancing geographic information science (GIS) and Earth observation to a new stage …

Remote sensing image segmentation plays an important role in many industrial-grade
image processing applications. However, the problem of uncertainty caused by intraclass …

With the development of deep learning and remote sensing technologies in recent years,
many semantic segmentation methods based on convolutional neural networks (CNNs) …

Traditional methods to inspect transmission line passage are mostly through
UAV/helicopters and manual inspection, which are limited in no man's area and large-scale …

This research assessed the efficacy of deep segmentation in identifying and measuring
natural karst depressions in the Bambuí Group's carbonate rocks in Western Bahia, Brazil …

Earth observation (EO) has been a key task for satellites since the first time a satellite was
put into space. The temporal and spatial resolution at which EO satellites take pictures has …

НАЦІОНАЛЬНИЙ ТЕХНІЧНИЙ УНІВЕРСИТЕТ «ХАРКІВСЬКИЙ ПОЛІТЕХНІЧНИЙ ІНСТ
Page 1 НАЦІОНАЛЬНИЙ ТЕХНІЧНИЙ УНІВЕРСИТЕТ «ХАРКІВСЬКИЙ ПОЛІТЕХНІЧНИЙ …

EYE-Sense is a Web-GIS platform which allows for easy access to valuable socio-economic
insights from Earth Observation (EO) data by offering a code-less approach. The platform …

This research aims to investigate the use of deep segmentation in detecting and quantifying
natural karst depressions developed in the carbonate rocks of the Neoproterozoic Bambuí …

Geographic information systems (GIS) and artificial intelligence (AI) have been significantly
integrated during the past ten years. Artificial intelligence offers novel approaches for GIS …