Review on Active and Passive Remote Sensing Techniques for Road Extraction

编号 030031405

推送时间 20211025

研究领域 森林经理 

年份 2021 

类型 期刊 

语种 英语

标题 Review on Active and Passive Remote Sensing Techniques for Road Extraction

来源期刊 REMOTE SENSING

期 第314期

发表时间 20211021

关键词 road extraction;  high-resolution image;  hyperspectral image;  synthetic aperture radar (SAR);  light detection and ranging (LiDAR); 

摘要 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.

服务人员 付贺龙

服务院士 唐守正

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