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, |
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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 |
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Committee | IE |
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Conference Date | 2014/2/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Image Engineering (IE) |
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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 |