Satlaspretrain: A large-scale dataset for remote sensing image understanding
Remote sensing images are useful for a wide variety of planet monitoring applications, from
tracking deforestation to tackling illegal fishing. The Earth is extremely diverse---the amount …
tracking deforestation to tackling illegal fishing. The Earth is extremely diverse---the amount …
Lane-level street map extraction from aerial imagery
S He, H Balakrishnan - … of the IEEE/CVF Winter Conference …, 2022 - openaccess.thecvf.com
Digital maps with lane-level details are the foundation of many applications. However,
creating and maintaining digital maps especially maps with lane-level details, are labor …
creating and maintaining digital maps especially maps with lane-level details, are labor …
[HTML][HTML] Spatial Data Intelligence and City Metaverse: a Review
Abstract Spatial Data Intelligence (SDI) encompasses acquiring, storing, analyzing, mining,
and visualizing spatial data to gain insights into the physical world and uncover valuable …
and visualizing spatial data to gain insights into the physical world and uncover valuable …
Multimodal deep learning for robust road attribute detection
Automatic inference of missing road attributes (eg, road type and speed limit) for enriching
digital maps has attracted significant research attention in recent years. A number of …
digital maps has attracted significant research attention in recent years. A number of …
Vector Road Map Updating from High-Resolution Remote-Sensing Images with the Guidance of Road Intersection Change Detection and Directed Road Tracing
Updating vector road maps from current remote-sensing images provides fundamental data
for applications, such as smart transportation and autonomous driving. Updating historical …
for applications, such as smart transportation and autonomous driving. Updating historical …