Results 151 to 160 of about 2,732,569 (203)

SC-RoadDeepNet: A New Shape and Connectivity-preserving Road Extraction Deep Learning-based Network from Remote Sensing Data

IEEE Transactions on Geoscience and Remote Sensing, 2022
Existing automated road extraction approaches concentrate on regional accuracy rather than road shape and connectivity quality. Most of these techniques produce discontinuous outputs caused by obstacles, such as shadows, buildings, and vehicles.
A. Abdollahi, B. Pradhan, A. Alamri
semanticscholar   +1 more source

Context-Supported Road Extraction

1997
Contextual information can facilitate automatic extraction of objects from digital imager). This paper addresses the use of context for the automatic extraction of roads from aerial imagery. Context is restricted to knowledge about relations between roads and other objects and is hierarchically structured.
A. Baumgartner, W. Eckstein, H. Mayer, C. Heipke, H. Ebner   +4 more
openaire   +1 more source

RoadCT: A Hybrid CNN-Transformer Network for Road Extraction From Satellite Imagery

IEEE Geoscience and Remote Sensing Letters
Electronic road map is essential to support many intelligent transportation applications, and extracting roads from satellite images is a promising approach for map service providers to update their road networks efficiently.
Wei Liu, Shufeng Gao, Chun Zhang, Bijia Yang   +3 more
semanticscholar   +1 more source

CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery

IEEE Transactions on Image Processing, 2021
Extracting roads from satellite imagery is a promising approach to update the dynamic changes of road networks efficiently and timely. However, it is challenging due to the occlusions caused by other objects and the complex traffic environment, the pixel-
J. Mei, Roujing Li, Wang Gao, Ming-Ming Cheng   +3 more
semanticscholar   +1 more source

CFRNet: Road Extraction in Remote Sensing Images Based on Cascade Fusion Network

IEEE Geoscience and Remote Sensing Letters
Road extraction from remote sensing images has attracted widespread attention of researchers due to its crucial role in the fields of autopilot, urban planning, navigation, and other fields.
Youqiang Xiong, Lu Li, Di Yuan, Haoqi Wang, Tianliang Ma, Zhongqi Wang, Yuping Yang   +6 more
semanticscholar   +1 more source

StripUnet: A Method for Dense Road Extraction From Remote Sensing Images

IEEE Transactions on Intelligent Vehicles
Road extraction from high-resolution remote sensing images can provide vital data support for applications in urban and rural planning, traffic control, and environmental protection.
Xianzhi Ma, Xiaokai Zhang, Daoxiang Zhou, Zehua Chen   +3 more
semanticscholar   +1 more source

Road Structure Refined CNN for Road Extraction in Aerial Image

IEEE Geoscience and Remote Sensing Letters, 2017
In this letter, we propose a road structure refined convolutional neural network (RSRCNN) approach for road extraction in aerial images. In order to obtain structured output of road extraction, both deconvolutional and fusion layers are designed in the architecture of RSRCNN.
Yanan Wei, Zulin Wang, Mai Xu
openaire   +1 more source

Road Extraction From Remote Sensing Images via Channel Attention and Multilayer Axial Transformer

IEEE Geoscience and Remote Sensing Letters
Remote sensing images contain many objects that resemble road structures, making it difficult to distinguish roads from the background. Moreover, road extraction is affected by many factors, such as lighting conditions, noise, occlusions, etc., resulting
Qingliang Meng, Daoxiang Zhou, Xiaokai Zhang, Zhigang Yang, Zehua Chen   +4 more
semanticscholar   +1 more source

MSACon: Mining Spatial Attention-Based Contextual Information for Road Extraction

IEEE Transactions on Geoscience and Remote Sensing, 2022
With the boost of deep learning methods, road extraction has been widely used in city planning and autonomous driving. However, it is very challenging to extract roads around the thorny occlusion areas, even in high-resolution remote sensing images ...
Yingxiao Xu, Hao Chen, C. Du, Jun Li
semanticscholar   +1 more source

Road and Road Intersection Extraction

2013
Beginning in 1879 the United States Geological Survey (USGS) began surveying land in the United States. Since then they have developed over 55, 000 1​​: 24, 000-scale topographic maps covering the 48 coterminous states in a standard, detailed manner. The result is a wealth of data contained in physical documents.
openaire   +1 more source