Results 11 to 20 of about 2,797,503 (360)
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
Strip Attention Networks for Road Extraction
Remote Sensing, 2022 In recent years, deep learning methods have been widely used for road extraction in remote sensing images. However, the existing deep learning semantic segmentation networks generally show poor continuity in road segmentation due to the high-class similarity between roads and buildings surrounding roads in remote sensing images, and the existence of ...
Hai Huan, Yu Sheng, Yi Zhang, Yuan Liu
openaire +3 more sources
Remote Sensing, 2022 Road information plays a fundamental role in many applications. However, at present, it is difficult to extract road information from the traditional nighttime light images in view of their low spatial and spectral resolutions.
Dingkun Chang +3 more
doaj +2 more sources
Road Extraction in SAR Images Using Ordinal Regression and Road-Topology Loss [PDF]
Remote Sensing, 2021 The road extraction task is mainly composed of two subtasks, namely, road detection and road centerline extraction. As the road detection task and road centerline extraction task are strongly correlated, in this paper, we introduce a multitask learning ...
Xiaochen Wei, Xiaolei Lv, Kaiyu Zhang
doaj +3 more sources
Reconstruction Bias U-Net for Road Extraction From Optical Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Automatic road extraction from remote sensing images plays an important role for navigation, intelligent transportation, and road network update, etc. Convolutional neural network (CNN)-based methods have presented many achievements for road extraction ...
Ziyi Chen +5 more
doaj +2 more sources
Scan Line Based Road Marking Extraction from Mobile LiDAR Point Clouds [PDF]
Sensors, 2016 Mobile Mapping Technology (MMT) is one of the most important 3D spatial data acquisition technologies. The state-of-the-art mobile mapping systems, equipped with laser scanners and named Mobile LiDAR Scanning (MLS) systems, have been widely used in a ...
Li Yan +5 more
doaj +2 more sources
Automatic Road Centerline Extraction from Imagery Using Road GPS Data [PDF]
Remote Sensing, 2014 Road centerline extraction from imagery constitutes a key element in numerous geospatial applications, which has been addressed through a variety of approaches.
Chuqing Cao, Ying Sun
doaj +3 more sources
Road Extraction by Using Atrous Spatial Pyramid Pooling Integrated Encoder-Decoder Network and Structural Similarity Loss [PDF]
Remote Sensing, 2019 The technology used for road extraction from remote sensing images plays an important role in urban planning, traffic management, navigation, and other geographic applications.
Hao He +4 more
doaj +2 more sources
Review on Active and Passive Remote Sensing Techniques for Road Extraction
Remote Sensing, 2021 Digital maps of road networks are a vital part of digital cities and intelligent transportation. In this paper, we provide a comprehensive review on road extraction based on various remote sensing data sources, including high-resolution images ...
Jianxin Jia +12 more
doaj +1 more source
Remote Sensing, 2023 Road extraction is crucial in urban planning, rescue operations, and military applications. Compared to traditional methods, using deep learning for road extraction from remote sensing images has demonstrated unique advantages.
Xudong Wang +5 more
doaj +1 more source