Results 11 to 20 of about 2,255,908 (239)

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   +3 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, Wenzhong Shi, Yixing Ding, Zhiqiang Liu, Haolv Shang   +4 more
doaj   +2 more sources

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   +3 more sources

Road Extraction From a High Spatial Resolution Remote Sensing Image Based on Richer Convolutional Features

IEEE Access, 2018
The extraction and vectorization of roads from high spatial resolution remote sensing (HSRRS) images are of great significance to city planning and development.
Zhaoli Hong, Dongping Ming, Keqi Zhou, Ya Guo, Tingting Lu   +4 more
doaj   +3 more sources

Road Extraction by Using Atrous Spatial Pyramid Pooling Integrated Encoder-Decoder Network and Structural Similarity Loss

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, Dongfang Yang, Shicheng Wang, Shuyang Wang, Yongfei Li   +4 more
doaj   +3 more sources

Road Extraction from High-Resolution Remote Sensing Images Based on EDRNet Model [PDF]

Jisuanji gongcheng, 2021
The existing methods for extracting the road parts from high-resolution remote sensing images are limited by the incomplete extraction results and poor boundary quality.To address the problem, a new method based on the EDRNet model is proposed for ...
HE Xiaohui, LI Daidong, LI Panle, HU Shaokai, CHEN Mingyang, TIAN Zhihui, ZHOU Guangsheng
doaj   +1 more source

Global–Local Information Fusion Network for Road Extraction: Bridging the Gap in Accurate Road Segmentation in China

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, Yujie Cai, Kang He, Sheng Wang, Yan Liu, Yusen Dong   +5 more
doaj   +1 more source

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, Haibin Sun, Changhui Jiang, Kirsi Karila, Mika Karjalainen, Eero Ahokas, Ehsan Khoramshahi, Peilun Hu, Chen Chen, Tianru Xue, Tinghuai Wang, Yuwei Chen, Juha Hyyppä   +12 more
doaj   +1 more source

The extract from Portulaca oleracea L. rehabilitates skin photoaging via adjusting miR-138-5p/Sirt1-mediated inflammation and oxidative stress

Heliyon, 2023
Photoaging is the main form of external skin aging, and ultraviolet radiation is the main cause. Long-term ultraviolet radiation can cause oxidative stress, inflammation, immune responses, and skin cell apoptosis.
Liping Qu, Feifei Wang, Xiao Ma
doaj   +1 more source

A BOUNDARY AWARE NEURAL NETWORK FOR ROAD EXTRACTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGERY [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Automatic road extraction from high-resolution remote sensing imagery has various applications like urban planning and automatic navigation. Existing methods for automatic road extraction however, focus on regional accuracy but not on the boundary ...
H. Sui, M. Zhou, M. Peng, N. Xiong
doaj   +1 more source