An Effective Road Centerline Extraction Method From VHR-Reference-Cited by-同舟云学术

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An Effective Road Centerline Extraction Method From VHR

Published:2022 Issue: Volume:19 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Lian Renbao¹^ORCID,Zhang Zhenmin¹,Zou Changzhong²^ORCID,Huang Liqin³^ORCID

Affiliation:

1. College of Electronics and Information Science, Fujian Jiangxia University, Fuzhou, China

2. College of Computer and Data Science, Fuzhou University, Fuzhou, China

3. College of Physics and Information Engineering, Fuzhou University, Fuzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

National Foundation Cultivation of Fujian Jiangxia University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/9651998/09762944.pdf?arnumber=9762944

Reference14 articles.

1. Fast Marching Methods

2. A fast sweeping method for Eikonal equations

3. A Fast Sweeping Method for Eikonal Equations on Implicit Surfaces

4. A Robust Method for Semi-Automatic Extraction of Road Centerlines Using a Piecewise Parabolic Model and Least Square Template Matching

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

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1. A new two-step road extraction method in high resolution remote sensing images;PLOS ONE;2024-07-18

2. Self-Supervised Remote Sensing Image Dehazing Network Based on Zero-Shot Learning;Remote Sensing;2023-05-24

3. An Operational Framework for Reconstructing Lane-Level Road Maps Using Open Access Data;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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