Presentation 2014-02-17
Urban Road Network Extraction Using Very High Resolution Data Based on Road Signatures Detection
Darlis HERUMURTI, Keiichi UCHIMURA, Gou KOUTAKI, Takumi UEMURA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents a robust method to extract the road network from an extremely high-resolution aerial image where the road signatures such as zebra crossings, cars, road lines can be seen in detail. In this paper, we propose a combining method using SIFT, SURF, and blob features to recognize zebra crossings. In addition, we use the digital surface model (DSM) data to overcome the shadow problem and to extract the road based on local thresholding, region growing and morphological operations. Finally, we construct the network based on road skeleton and b-spline. The experimental result shows that the proposed method works very well.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Road extraction / High resolution / DSM / SIFT / SURF
Paper # ITS2013-47,IE2013-112
Date of Issue

Conference Information
Committee IE
Conference Date 2014/2/10(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Image Engineering (IE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Urban Road Network Extraction Using Very High Resolution Data Based on Road Signatures Detection
Sub Title (in English)
Keyword(1) Road extraction
Keyword(2) High resolution
Keyword(3) DSM
Keyword(4) SIFT
Keyword(5) SURF
1st Author's Name Darlis HERUMURTI
1st Author's Affiliation Graduate School of Science and Technology, Kumamoto University()
2nd Author's Name Keiichi UCHIMURA
2nd Author's Affiliation Graduate School of Science and Technology, Kumamoto University
3rd Author's Name Gou KOUTAKI
3rd Author's Affiliation Priority Organization for Innovation and Excellence, Kumamoto University
4th Author's Name Takumi UEMURA
4th Author's Affiliation Faculty of Computer and Information Science, Sojo University
Date 2014-02-17
Paper # ITS2013-47,IE2013-112
Volume (vol) vol.113
Number (no) 434
Page pp.pp.-
#Pages 6
Date of Issue