[HTML][HTML] Road extraction in remote sensing data: A survey
Automated extraction of roads from remotely sensed data come forth various usages ranging
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …
from digital twins for smart cities, intelligent transportation, urban planning, autonomous …
[HTML][HTML] U-Net-LSTM: time series-enhanced lake boundary prediction model
Change detection of natural lake boundaries is one of the important tasks in remote sensing
image interpretation. In an ordinary fully connected network, or CNN, the signal of neurons …
image interpretation. In an ordinary fully connected network, or CNN, the signal of neurons …
[HTML][HTML] RoadFormer: Pyramidal deformable vision transformers for road network extraction with remote sensing images
X Jiang, Y Li, T Jiang, J Xie, Y Wu, Q Cai, J Jiang… - International Journal of …, 2022 - Elsevier
The data-complete and detail-correct road network information serves as important evidence
in numerous transportation-associated applications. Regular and rapid road network …
in numerous transportation-associated applications. Regular and rapid road network …
[HTML][HTML] SemiRoadExNet: A semi-supervised network for road extraction from remote sensing imagery via adversarial learning
Road extraction from remote sensing imagery is a popular and frontier research focus, since
road information plays an essential role in application fields, such as urban management …
road information plays an essential role in application fields, such as urban management …
Syndrone-multi-modal uav dataset for urban scenarios
The development of computer vision algorithms for Unmanned Aerial Vehicles (UAVs)
imagery heavily relies on the availability of annotated high-resolution aerial data. However …
imagery heavily relies on the availability of annotated high-resolution aerial data. However …
[HTML][HTML] Generating 2m fine-scale urban tree cover product over 34 metropolises in China based on deep context-aware sub-pixel mapping network
Contrast to the global forest, few trees live in cities but contribute significantly to urban
environment and human health. However, the classical satellite-derived land cover/forest …
environment and human health. However, the classical satellite-derived land cover/forest …
[HTML][HTML] Self-attention in reconstruction bias U-Net for semantic segmentation of building rooftops in optical remote sensing images
Deep learning models have brought great breakthroughs in building extraction from high-
resolution optical remote-sensing images. Among recent research, the self-attention module …
resolution optical remote-sensing images. Among recent research, the self-attention module …
[HTML][HTML] SEG-Road: a segmentation network for road extraction based on transformer and CNN with connectivity structures
Acquiring road information is important for smart cities and sustainable urban development.
In recent years, significant progress has been made in the extraction of urban road …
In recent years, significant progress has been made in the extraction of urban road …
NIGAN: A framework for mountain road extraction integrating remote sensing road-scene neighborhood probability enhancements and improved conditional …
Mountain roads are a source of important basic geographic data used in various fields. The
automatic extraction of road images through high-resolution remote sensing imagery using …
automatic extraction of road images through high-resolution remote sensing imagery using …
[HTML][HTML] A graph neural network (GNN)-based approach for real-time estimation of traffic speed in sustainable smart cities
Planning effective routes and monitoring vehicle traffic are essential for creating sustainable
smart cities. Accurate speed prediction is a key component of these efforts, as it aids in …
smart cities. Accurate speed prediction is a key component of these efforts, as it aids in …