Estimating Road Widths From Remote Sensing Images. Issue 9 (2nd September 2018)

• Record Type: Journal Article
• Authors: Luo, Lun; Zang, Yu; Wang, Xiaofang; Wang, Cheng; Li, Jonathan; Wu, Sheng; Liu, Yuelei
• Is Part Of: Remote sensing letters. Volume 9:Issue 9(2018)
• Page Start: 819
• Page End: 828
• Publication Date: 2018-09-02
• Subjects: Remote sensing -- Periodicals; Remote sensing; Periodicals; 621.3678
• DOI: 10.1080/2150704X.2018.1484957
• Languages: English
• ISSNs: 2150-704X

Abstract

ABSTRACT: In this paper, we propose a learning-based approach for road width estimation from high resolution satellite or aerial images. With the road centerline given, a proposed pixel-wise descriptor describes the distribution of the road-like pixels. Then, in the predictive phase, we demonstrate that performance is significantly improved by considering the spatial coherence of the output labels. Experimental results show that the proposed approach provides high quality width estimation results on roads in various terrains.