[HTML][HTML] GA-Net: A geometry prior assisted neural network for road extraction
X Chen, Q Sun, W Guo, C Qiu, A Yu - International Journal of Applied Earth …, 2022 - Elsevier
With geospatial intelligence research develo** rapidly, automatic road extraction is
becoming a fundamental and challenging task. Due to the special geometric structure and …
becoming a fundamental and challenging task. Due to the special geometric structure and …
GAMSNet: Globally aware road detection network with multi-scale residual learning
Road detection from very high-resolution (VHR) remote sensing imagery is of great
importance in a broad array of applications. However, the most advanced deep learning …
importance in a broad array of applications. However, the most advanced deep learning …
[Free GPT-4]
Urban buildings are essential components of cities and an indispensable source of urban
geographic information. While there are many research efforts focused on urban buildings …
geographic information. While there are many research efforts focused on urban buildings …
BSIRNet: A road extraction network with bidirectional spatial information reasoning
H Tan, H Xu, J Dai - Journal of Sensors, 2022 - Wiley Online Library
Automatic extraction of road information from remote sensing images is widely used in many
fields, such as urban planning and automatic navigation. However, due to interference from …
fields, such as urban planning and automatic navigation. However, due to interference from …
DRA u-net: An attention based u-net framework for 2d medical image segmentation
X Zhang, Z Feng, T Zhong, S Shen… - … Conference on Big …, 2021 - ieeexplore.ieee.org
Limited by the size of the dataset, deep learning models for medical image analysis are
usually difficult to train well, and the complex deep learning model with large amount of …
usually difficult to train well, and the complex deep learning model with large amount of …
A Nov Al Global-Local Adversarial Network for Unsupervised Cross-Domain Road Detection
Road detection based on convolutional neural networks (CNNs) has achieved remarkable
performances for very high resolution (VHR) remote sensing images. However, it relies on a …
performances for very high resolution (VHR) remote sensing images. However, it relies on a …
[PDF][PDF] A Road Extraction Method of a High-Resolution Remote Sensing Image Based on MultiFeature Fusion and the Attention Mechanism.
N Jiang, J Li, J Yang, J Lin, B Lu - Traitement du Signal, 2022 - researchgate.net
Accepted: 19 November 2022 Road extraction from high-resolution remote sensing images
has a lot of practical value and significance and has been a research hotspot. Considering …
has a lot of practical value and significance and has been a research hotspot. Considering …