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Proceedings Paper

Urban road extraction based on shadow removal and road clues detection from high resolution RGB aerial image
Author(s): Darlis Herumurti; Keiichi Uchimura; Gou Koutaki; Takumi Uemura
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Paper Abstract

In urban areas, the shadow cast by buildings, trees along the road, abundant objects and complex image texture make the extraction of the road on very high Resolution RGB aerial image very difficult and challenging. We propose a method of road extraction from RGB aerial image in the followings steps: Shadow removal, enhanced sobel transform, keypoints extraction based on Maximally Stable Extremal Regions (MSER), feature extraction based on Speeded Up Robust Features (SURF) and road construction based on multi-resolution segmentation. The experimental results show that the proposed method achieves a good result.

Paper Details

Date Published: 15 October 2014
PDF: 10 pages
Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92440S (15 October 2014); doi: 10.1117/12.2067581
Show Author Affiliations
Darlis Herumurti, Institut Teknologi Sepuluh Nopember (Indonesia)
Kumamoto Univ. (Japan)
Keiichi Uchimura, Kumamoto Univ. (Japan)
Gou Koutaki, Kumamoto Univ. (Japan)
Takumi Uemura, Sojo Univ. (Japan)

Published in SPIE Proceedings Vol. 9244:
Image and Signal Processing for Remote Sensing XX
Lorenzo Bruzzone, Editor(s)

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