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,...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/21/4235 |
| _version_ | 1827677972810694656 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:54:10Z |
| format | Article |
| id | doaj.art-b8f9b2a6184a455a9968b60d4002538b |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T05:54:10Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b8f9b2a6184a455a9968b60d4002538b2023-11-22T21:30:26ZengMDPI AGRemote Sensing2072-42922021-10-011321423510.3390/rs13214235Review on Active and Passive Remote Sensing Techniques for Road ExtractionJianxin Jia0Haibin Sun1Changhui Jiang2Kirsi Karila3Mika Karjalainen4Eero Ahokas5Ehsan Khoramshahi6Peilun Hu7Chen Chen8Tianru Xue9Tinghuai Wang10Yuwei Chen11Juha Hyyppä12Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Kirkkonummi, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Kirkkonummi, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Kirkkonummi, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Kirkkonummi, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Kirkkonummi, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Kirkkonummi, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Kirkkonummi, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Kirkkonummi, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Kirkkonummi, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Kirkkonummi, FinlandHuawei Helsinki Research Centre, 00180 Helsinki, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Kirkkonummi, FinlandDepartment of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, 02430 Kirkkonummi, FinlandDigital 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.https://www.mdpi.com/2072-4292/13/21/4235road extractionhigh-resolution imagehyperspectral imagesynthetic aperture radar (SAR)light detection and ranging (LiDAR) |
| spellingShingle | 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 Remote Sensing road extraction high-resolution image hyperspectral image synthetic aperture radar (SAR) light detection and ranging (LiDAR) |
| title | 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_short | Review on Active and Passive Remote Sensing Techniques for Road Extraction |
| title_sort | review on active and passive remote sensing techniques for road extraction |
| topic | road extraction high-resolution image hyperspectral image synthetic aperture radar (SAR) light detection and ranging (LiDAR) |
| url | https://www.mdpi.com/2072-4292/13/21/4235 |
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