Review on Active and Passive Remote Sensing Techniques for Road Extraction

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,...

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	road extraction high-resolution image hyperspectral image synthetic aperture radar (SAR) light detection and ranging (LiDAR) Science Q
Acceso en línea:	https://doaj.org/article/b8f9b2a6184a455a9968b60d4002538b
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spelling	oai:doaj.org-article:b8f9b2a6184a455a9968b60d4002538b2021-11-11T18:50:51ZReview on Active and Passive Remote Sensing Techniques for Road Extraction10.3390/rs132142352072-4292https://doaj.org/article/b8f9b2a6184a455a9968b60d4002538b2021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4235https://doaj.org/toc/2072-4292Digital 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.Jianxin JiaHaibin SunChanghui JiangKirsi KarilaMika KarjalainenEero AhokasEhsan KhoramshahiPeilun HuChen ChenTianru XueTinghuai WangYuwei ChenJuha HyyppäMDPI AGarticleroad extractionhigh-resolution imagehyperspectral imagesynthetic aperture radar (SAR)light detection and ranging (LiDAR)ScienceQENRemote Sensing, Vol 13, Iss 4235, p 4235 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	road extraction high-resolution image hyperspectral image synthetic aperture radar (SAR) light detection and ranging (LiDAR) Science Q
spellingShingle	road extraction high-resolution image hyperspectral image synthetic aperture radar (SAR) light detection and ranging (LiDAR) Science Q 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 Review on Active and Passive Remote Sensing Techniques for Road Extraction
description	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.
format	article
author	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
author_facet	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
author_sort	Jianxin Jia
title	Review on Active and Passive Remote Sensing Techniques for Road Extraction
title_short	Review on Active and Passive Remote Sensing Techniques for Road Extraction
title_full	Review on Active and Passive Remote Sensing Techniques for Road Extraction
title_fullStr	Review on Active and Passive Remote Sensing Techniques for Road Extraction
title_full_unstemmed	Review on Active and Passive Remote Sensing Techniques for Road Extraction
title_sort	review on active and passive remote sensing techniques for road extraction
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b8f9b2a6184a455a9968b60d4002538b
work_keys_str_mv	AT jianxinjia reviewonactiveandpassiveremotesensingtechniquesforroadextraction AT haibinsun reviewonactiveandpassiveremotesensingtechniquesforroadextraction AT changhuijiang reviewonactiveandpassiveremotesensingtechniquesforroadextraction AT kirsikarila reviewonactiveandpassiveremotesensingtechniquesforroadextraction AT mikakarjalainen reviewonactiveandpassiveremotesensingtechniquesforroadextraction AT eeroahokas reviewonactiveandpassiveremotesensingtechniquesforroadextraction AT ehsankhoramshahi reviewonactiveandpassiveremotesensingtechniquesforroadextraction AT peilunhu reviewonactiveandpassiveremotesensingtechniquesforroadextraction AT chenchen reviewonactiveandpassiveremotesensingtechniquesforroadextraction AT tianruxue reviewonactiveandpassiveremotesensingtechniquesforroadextraction AT tinghuaiwang reviewonactiveandpassiveremotesensingtechniquesforroadextraction AT yuweichen reviewonactiveandpassiveremotesensingtechniquesforroadextraction AT juhahyyppa reviewonactiveandpassiveremotesensingtechniquesforroadextraction
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Review on Active and Passive Remote Sensing Techniques for Road Extraction

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