Review on Active and Passive Remote Sensing Techniques for Road Extraction

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Jia , J , Sun , H , Jiang , C , Karila , K , Karjalainen , M , Ahokas , E , Khoramshahi , E , Hu , P , Chen , C , Xue , T , Wang , T , Chen , Y & Hyyppa , J 2021 , ' Review on Active and Passive Remote Sensing Techniques for Road Extraction ' , Remote Sensing , vol. 13 , no. 21 , 4235 . https://doi.org/10.3390/rs13214235

Title: Review on Active and Passive Remote Sensing Techniques for Road Extraction
Author: Jia, Jianxin; Sun, Haibin; Jiang, Changhui; Karila, Kirsi; Karjalainen, Mika; Ahokas, Eero; Khoramshahi, Ehsan; Hu, Peilun; Chen, Chen; Xue, Tianru; Wang, Tinghuai; Chen, Yuwei; Hyyppa, Juha
Contributor organization: Helsinki Institute of Sustainability Science (HELSUS)
Department of Computer Science
Faculty of Agriculture and Forestry
Date: 2021-11
Language: eng
Number of pages: 29
Belongs to series: Remote Sensing
ISSN: 2072-4292
DOI: https://doi.org/10.3390/rs13214235
URI: http://hdl.handle.net/10138/336886
Abstract: 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, hyperspectral images, synthetic aperture radar images, and light detection and ranging. This review is divided into three parts. Part 1 provides an overview of the existing data acquisition techniques for road extraction, including data acquisition methods, typical sensors, application status, and prospects. Part 2 underlines the main road extraction methods based on four data sources. In this section, road extraction methods based on different data sources are described and analysed in detail. Part 3 presents the combined application of multisource data for road extraction. Evidently, different data acquisition techniques have unique advantages, and the combination of multiple sources can improve the accuracy of road extraction. The main aim of this review is to provide a comprehensive reference for research on existing road extraction technologies.
Subject: road extraction
high-resolution image
hyperspectral image
synthetic aperture radar (SAR)
light detection and ranging (LiDAR)
LAND-COVER CLASSIFICATION
AIRBORNE LIDAR DATA
NETWORK EXTRACTION
CENTERLINE EXTRACTION
POINT CLOUDS
HYPERSPECTRAL IMAGER
AERIAL IMAGES
SAR IMAGERY
GEOMETRIC ANALYSIS
OBJECT EXTRACTION
1171 Geosciences
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion


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