Road Extraction With Satellite Images and Partial Road Maps [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2023 This paper has been accepted by IEEE Transactions on Geoscience and Remote ...
Qianxiong Xu +3 more
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Unstructured road extraction and roadside fruit recognition in grape orchards based on a synchronous detection algorithm. [PDF]
Front Plant Sci, 2023 Accurate road extraction and recognition of roadside fruit in complex orchard environments are essential prerequisites for robotic fruit picking and walking behavioral decisions.
Zhou X +5 more
europepmc +2 more sources
A Survey of Deep Learning Road Extraction Algorithms Using High-Resolution Remote Sensing Images. [PDF]
Sensors (Basel)Roads are the fundamental elements of transportation, connecting cities and rural areas, as well as people’s lives and work. They play a significant role in various areas such as map updates, economic development, tourism, and disaster management.
Mo S, Shi Y, Yuan Q, Li M.
europepmc +2 more sources
Remote SensingRoad extraction from high-resolution remote sensing images has long been a focal and challenging research topic in the field of computer vision. Accurate extraction of road networks holds extensive practical value in various fields, such as urban ...
Ruyi Liu +7 more
doaj +2 more sources
C-UNet: Complement UNet for Remote Sensing Road Extraction. [PDF]
Sensors (Basel), 2021 Roads are important mode of transportation, which are very convenient for people’s daily work and life. However, it is challenging to accuratly extract road information from a high-resolution remote sensing image.
Hou Y, Liu Z, Zhang T, Li Y.
europepmc +2 more sources
Dual-Task Network for Road Extraction From High-Resolution Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 In high-resolution remote sensing images, road scale diversity and occlusions caused by shadows, buildings, and vegetation often pose challenges for road extraction.
Yuzhun Lin +4 more
doaj +2 more sources
Road Extraction from High Resolution Remote Sensing Images Based on Vector Field Learning [PDF]
Sensors, 2021 Accurate and up-to-date road network information is very important for the Geographic Information System (GIS) database, traffic management and planning, automatic vehicle navigation, emergency response and urban pollution sources investigation.
Peng Liang +4 more
doaj +2 more sources
RemainNet: Explore Road Extraction from Remote Sensing Image Using Mask Image Modeling
Remote Sensing, 2023 Road extraction from a remote sensing image is a research hotspot due to its broad range of applications. Despite recent advancements, achieving precise road extraction remains challenging.
Zhenghong Li +3 more
doaj +2 more sources
Remote Sensing Road Extraction by Road Segmentation Network [PDF]
Applied Sciences, 2021 Road extraction from remote sensing images has attracted much attention in geospatial applications. However, the existing methods do not accurately identify the connectivity of the road. The identification of the road pixels may be interfered with by the
Jiahai Tan, Ming Gao, Kai Yang, Tao Duan
doaj +3 more sources
Multiscale Road Extraction in Remote Sensing Images. [PDF]
Comput Intell Neurosci, 2019 Recent advances in convolutional neural networks (CNNs) have shown impressive results in semantic segmentation. Among the successful CNN-based methods, U-Net has achieved exciting performance. In this paper, we proposed a novel network architecture based on U-Net and atrous spatial pyramid pooling (ASPP) to deal with the road extraction task in the ...
Wulamu A, Shi Z, Zhang D, He Z.
europepmc +4 more sources