Review on Active and Passive Remote Sensing Techniques for Road Extraction

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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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Détails bibliographiques
Auteurs principaux:	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
Langue:	EN
Publié:	MDPI AG 2021
Sujets:	road extraction high-resolution image hyperspectral image synthetic aperture radar (SAR) light detection and ranging (LiDAR) Science Q
Accès en ligne:	https://doaj.org/article/b8f9b2a6184a455a9968b60d4002538b
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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