Results 71 to 80 of about 2,732,569 (203)

Lane-Level Road Extraction from High-Resolution Optical Satellite Images

Remote Sensing, 2019
High-quality updates of road information play an important role in smart city planning, sustainable urban expansion, vehicle management, urban planning, traffic navigation, public health and other fields.
Jiguang Dai, Tingting Zhu, Yilei Zhang, Rongchen Ma, Wantong Li   +4 more
doaj   +1 more source

FERDNet: High-Resolution Remote Sensing Road Extraction Network Based on Feature Enhancement of Road Directionality

Remote Sensing
The identification of roads from satellite imagery plays an important role in urban design, geographic referencing, vehicle navigation, geospatial data integration, and intelligent transportation systems. The use of deep learning methods has demonstrated
Bo Zhong, Hongfeng Dan, MingHao Liu, Xiaobo Luo, Kai Ao, Aixia Yang, Junjun Wu   +6 more
doaj   +1 more source

Dual Crisscross Attention Module for Road Extraction from Remote Sensing Images. [PDF]

Sensors (Basel), 2021
Chen C, Zhao H, Cui W, He X.
europepmc   +1 more source

SemiRoadExNet: A semi-supervised network for road extraction from remote sensing imagery via adversarial learning

Isprs Journal of Photogrammetry and Remote Sensing, 2023
Hao Chen, Zhenghong Li, Jiangjiang Wu, Wei Xiong, C. Du   +4 more
semanticscholar   +1 more source

A deeply supervised vertex network for road network graph extraction in high-resolution images

International Journal of Applied Earth Observations and Geoinformation
Extracting road network maps for high-resolution remote sensing images is a critical and challenging remote sensing topic, with significant importance for traffic navigation, disaster management, autonomous driving, and urban planning.
Yu Zhao, Zhengchao Chen, Zhujun Zhao, Cong Li, Yongqing Bai, Zhaoming Wu, Degang Wang, Pan Chen   +7 more
doaj   +1 more source

Road Extraction Using Stationary Wavelet Transform

, 2013
{"references": ["", "B. Sirmacek and C. Unsalan, \"Road Network Extractions using Edge Detection and Spatial Voting,\" in Conf. Rec. 2010 Int. Conf. on Pattern Recognition, pp. 3113\u20133117.", "J. Yuan and D. Wang, \"LEGION-Based Automatic Road Extraction From Satellite Imagery,\" IEEE Trans. on Geoscience and Remote Sensing, vol.
openaire   +1 more source

Road Topology Extraction Based on Point of Interest Guidance and Graph Convolutional Neural Network From High-Resolution Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Road topology networks play a crucial role in expressing road information, as they serve as the fundamental representation of road systems. Unfortunately, in high-resolution remote sensing images, roads are often obscured by buildings, tree trunks, and ...
Lipeng Gao, Jiangtao Tian, Yiqing Zhou, Wenjing Cai, Xingke Hao   +4 more
doaj   +1 more source

Road Extraction from Stereo RADARSAT Data

, 1999
Two stereo pairs generated with fine mode images (F1-F5) and standard mode images (S1-S7) are used to evaluate the potential of RADARSAT-SAR for extracting planimetric features on a PC-based stereo workstation. First, monoscopic and stereoscopic plotting are evaluated.
openaire   +1 more source

A Cross Entropy Based Deep Neural Network Model for Road Extraction from Satellite Images. [PDF]

Entropy (Basel), 2020
Shan B, Fang Y.
europepmc   +1 more source

DPENet: Dual-path extraction network based on CNN and transformer for accurate building and road extraction

International Journal of Applied Earth Observation and Geoinformation, 2023
Zi-xing Chen, Yuhua Luo, Jing Wang, Jonathan Li, Cheng Wang, Dilong Li   +5 more
semanticscholar   +1 more source