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15 October 2014 Urban road extraction based on shadow removal and road clues detection from high resolution RGB aerial image
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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.
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Darlis Herumurti, Keiichi Uchimura, Gou Koutaki, and Takumi Uemura "Urban road extraction based on shadow removal and road clues detection from high resolution RGB aerial image", Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92440S (15 October 2014); https://doi.org/10.1117/12.2067581
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