4.7 Article

Efficient Occluded Road Extraction from High-Resolution Remote Sensing Imagery

Related references

Note: Only part of the references are listed.
Article Remote Sensing

Leveraging optical and SAR data with a UU-Net for large-scale road extraction

Yinyi Lin et al.

Summary: This study utilized medium resolution optical and SAR data for large-scale road extraction, showing better performance than traditional methods. The results indicate that SAR contributes more to road extraction in barren land, while optical data has a greater impact in areas with large slopes. Road accuracy is positively correlated with elevation and urban percentage, higher in eastern China and lower in western regions. The 10m road centerline showed comparable results to Open Street Map (OSM), promising applications for supporting large-scale urban transportation studies.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)

Article Environmental Sciences

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

Zhenfeng Shao et al.

Summary: This study focuses on the automatic extraction of road surface and road centerline from VHR remote sensing images using a multitask convolutional neural network model. The proposed algorithm utilizes features extracted from the road as a condition for centerline extraction and addresses the issue of insufficient road centerline samples through information transmission and parameter sharing between the two tasks. Experimental results demonstrate that the algorithm outperforms several comparative methods in terms of classification precision and visual interpretation.

REMOTE SENSING (2021)

Article Environmental Sciences

Road extraction from satellite and aerial image using SE-Unet

Reza Akbari Dotappeh Sofla et al.

Summary: Road extraction, an important research topic in the fields of traffic management, road monitoring, and autonomous driving cars, has been addressed using a deep learning method based on U-net and SE. The method effectively recognizes roads and outperforms other networks in testing on two road datasets.

JOURNAL OF APPLIED REMOTE SENSING (2021)

Article Computer Science, Artificial Intelligence

Integrated technique of segmentation and classification methods with connected components analysis for road extraction from orthophoto images

Abolfazl Abdollahi et al.

Summary: An integrated method combining segmentation and classification techniques was proposed to extract road class from orthophoto images, achieving high accuracy in performance evaluation.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Engineering, Electrical & Electronic

Reconstruction Bias U-Net for Road Extraction From Optical Remote Sensing Images

Ziyi Chen et al.

Summary: Automatic road extraction from remote sensing images is crucial for navigation, intelligent transportation, and road network updates, but there is a lack of standard and large dataset. This article introduces a new dataset LRSNY and a reconstruction bias U-Net model, which has been proven to outperform other state-of-the-art segmentation models in road extraction.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

Article Environmental Sciences

Semiautomatic Road Extraction Framework Based on Shape Features and LS-SVM from High-Resolution Images

Pramod Kumar Soni et al.

JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Fully Convolutional Network-Based Ensemble Method for Road Extraction From Aerial Images

Xiangrong Zhang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)

Article Engineering, Civil

Corse-to-Fine Road Extraction Based on Local Dirichlet Mixture Models and Multiscale-High-Order Deep Learning

Ziyi Chen et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)

Article Environmental Sciences

DA-CapsUNet: A Dual-Attention Capsule U-Net for Road Extraction from Remote Sensing Imagery

Yongfeng Ren et al.

REMOTE SENSING (2020)

Article Geochemistry & Geophysics

Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net

Xiaofei Yang et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)

Proceedings Paper Geosciences, Multidisciplinary

D-RESUNET: RESUNET AND DILATED CONVOLUTION FOR HIGH RESOLUTION SATELLITE IMAGERY ROAD EXTRACTION

Zhiqun Liu et al.

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) (2019)

Article Geochemistry & Geophysics

Road Extraction by Deep Residual U-Net

Zhengxin Zhang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)

Article Automation & Control Systems

被撤回的出版物: Intelligent Transportation System in Macao Based on Deep Self-Coding Learning (Retracted Article)

Daming Li et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Article Computer Science, Artificial Intelligence

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Liang-Chieh Chen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Article Environmental Sciences

Road Extraction from High-Resolution Remote Sensing Imagery Using Deep Learning

Yongyang Xu et al.

REMOTE SENSING (2018)

Proceedings Paper Computer Science, Artificial Intelligence

A method of road extraction from high resolution remote image based on Delaunay algorithms

Wang Zhendong et al.

2018 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS 2018) (2018)

Article Geochemistry & Geophysics

Road Structure Refined CNN for Road Extraction in Aerial Image

Yanan Wei et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)

Article Geochemistry & Geophysics

Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network

Guangliang Cheng et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)

Article Computer Science, Artificial Intelligence

Fully Convolutional Networks for Semantic Segmentation

Evan Shelhamer et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Article Computer Science, Artificial Intelligence

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Article Computer Science, Hardware & Architecture

ImageNet Classification with Deep Convolutional Neural Networks

Alex Krizhevsky et al.

COMMUNICATIONS OF THE ACM (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Computer Science, Artificial Intelligence

Junction-aware water flow approach for urban road network extraction

Leninisha Shanmugam et al.

IET IMAGE PROCESSING (2016)

Article Remote Sensing

Region-based urban road extraction from VHR satellite images using Binary Partition Tree

Mengmeng Li et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2016)

Proceedings Paper Engineering, Electrical & Electronic

ROAD EXTRACTION BASE ON ZERNIKE ALGORITHM ON SAR IMAGE

Huilin Mu et al.

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) (2016)

Article Geochemistry & Geophysics

Multiview Deep Learning for Land-Use Classification

F. P. S. Luus et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2015)

Article Geochemistry & Geophysics

A Semi-Automatic Method for Road Centerline Extraction From VHR Images

Zelang Miao et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2014)

Article Engineering, Electrical & Electronic

A New Region Growing-Based Method for Road Network Extraction and Its Application on Different Resolution SAR Images

Pingping Lu et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)

Article Geochemistry & Geophysics

An Integrated Method for Urban Main-Road Centerline Extraction From Optical Remotely Sensed Imagery

Wenzhong Shi et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2014)

Article Geography, Physical

Geographic Object-Based Image Analysis - Towards a new paradigm

Thomas Blaschke et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2014)

Article Environmental Sciences

Road Extraction Using Topological Derivative and Mathematical Morphology

P. N. Anil et al.

JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING (2013)

Article Mathematics, Applied

Numerical Solutions of a Variable-Order Fractional Financial System

Shichang Ma et al.

JOURNAL OF APPLIED MATHEMATICS (2012)

Article Geochemistry & Geophysics

Road network extraction and intersection detection from aerial images by tracking road footprints

Jiuxiang Hu et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2007)

Article Multidisciplinary Sciences

Reducing the dimensionality of data with neural networks

G. E. Hinton et al.

SCIENCE (2006)