Review on Active and Passive Remote Sensing Techniques for Road Extraction

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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Bibliographic Details
Main Authors:	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
Format:	Article
Language:	English
Published:	MDPI AG 2021-10-01
Series:	Remote Sensing
Subjects:	road extraction high-resolution image hyperspectral image synthetic aperture radar (SAR) light detection and ranging (LiDAR)
Online Access:	https://www.mdpi.com/2072-4292/13/21/4235

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