Results 21 to 30 of about 2,732,569 (203)

MRENet: Simultaneous Extraction of Road Surface and Road Centerline in Complex Urban Scenes from Very High-Resolution Images

Remote Sensing, 2021
Automatic extraction of the road surface and road centerline from very high-resolution (VHR) remote sensing images has always been a challenging task in the field of feature extraction.
Zhenfeng Shao, Zifan Zhou, Xiao Huang, Ya Zhang   +3 more
doaj   +1 more source

Developing a Method to Automatically Extract Road Boundary and Linear Road Markings from a Mobile Mapping System Point Cloud Using Oriented Bounding Box Collision-Detection Techniques

Remote Sensing, 2023
Advancements in data-acquisition technology have led to the increasing demand for high-precision road data for autonomous driving. Specifically, road boundaries and linear road markings, like edge and lane markings, provide fundamental guidance for ...
Seokchan Kang, Jeongwon Lee, Jiyeong Lee
doaj   +1 more source

Road Extraction in Mountainous Regions from High-Resolution Images Based on DSDNet and Terrain Optimization

Remote Sensing, 2020
High-quality road network information plays a vital role in regional economic development, disaster emergency management and land planning. To date, studies have primarily focused on sampling flat urban roads, while fewer have paid attention to road ...
Zeyu Xu, Zhanfeng Shen, Yang Li, Liegang Xia, Haoyu Wang, Shuo Li, Shuhui Jiao, Yating Lei   +7 more
doaj   +1 more source

Road Traffic Marking Extraction Algorithm Based on Fusion of Single Frame Image and Sparse Point Cloud

IEEE Access, 2023
As the boost of modern society, research on the extraction of road traffic markings has become increasingly popular. To improve the regional convolutional neural network, improve the road surface cloud segmentation algorithm based on the radius filtering
Fei Yu, Zhaoxia Lu
doaj   +1 more source

RoadFormer: Road Extraction Using a Swin Transformer Combined with a Spatial and Channel Separable Convolution

Remote Sensing, 2023
The accurate detection and extraction of roads using remote sensing technology are crucial to the development of the transportation industry and intelligent perception tasks.
Xiangzeng Liu, Ziyao Wang, Ji Wan, Juli Zhang, Yue Xi, Ruyi Liu, Q. Miao   +6 more
semanticscholar   +1 more source

Semi-Automatic Method of Extracting Road Networks from High-Resolution Remote-Sensing Images

Applied Sciences, 2022
Road network extraction plays a critical role in data updating, urban development, and decision support. To improve the efficiency of labeling road datasets and addressing the problems of traditional methods of manually extracting road networks from high-
Kaili Yang, Weihong Cui, Shu Shi, Yu Liu, Yuanjin Li, Mengyu Ge   +5 more
doaj   +1 more source

A review of road extraction from remote sensing images

Journal of Traffic and Transportation Engineering (English ed. Online), 2016
As a significant role for traffic management, city planning, road monitoring, GPS navigation and map updating, the technology of road extraction from a remote sensing (RS) image has been a hot research topic in recent years.
Weixing Wang, Nan Yang, Yi Zhang, Fengping Wang, Ting Cao, Patrik Eklund   +5 more
doaj   +1 more source

Road Extraction in SAR Images Using Ordinal Regression and Road-Topology Loss

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   +1 more source

Seg-Road: A Segmentation Network for Road Extraction Based on Transformer and CNN with Connectivity Structures

Remote Sensing, 2023
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 information from remote sensing images using deep learning (DL) algorithms ...
Jingjing Tao, Zhe Chen, Zhongchang Sun, Huadong Guo, Bo Leng, Zhengbo Yu, Yanli Wang, Ziqiong He, Xiangqi Lei, Jinpei Yang   +9 more
semanticscholar   +1 more source

ROAD EXTRACTION FROM HIGH-RESOLUTION SATELLITE IMAGES: CHALLENGES, SOLUTIONS, AND FUTURE DIRECTIONS [PDF]

Proceedings on Engineering Sciences
Road extraction is a widespread use of remote sensing images; however, extracting roads precisely and effectively from satellite images is challenging.
Prerna Rawat, Bhupendra Singh, Tanmoy Hazra   +2 more
doaj   +1 more source