A novel parallel algorithm for airport runway segmentation in satellite images using priority directional region growing strategy based on ensemble learning

Fei Duan; Yu-Jin Zhang

doi:10.1117/12.872636

25 January 2011 A novel parallel algorithm for airport runway segmentation in satellite images using priority directional region growing strategy based on ensemble learning

Fei Duan, Yu-Jin Zhang

Author Affiliations +

Proceedings Volume 7872, Parallel Processing for Imaging Applications; 78720A (2011) https://doi.org/10.1117/12.872636
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

This paper addresses the problem of airport runway segmentation in satellite images with complex background clutter. To this ends, we propose a novel ensemble learning based parallel runway segmentation algorithm. The contributions of our work can be summarized as follows: (a) we propose the concept of Priority Directional Region Growing. (b)We introduce the Bresenham's line generating algorithm into our segmentation task to better utilize the structural a priori. (c) we adopt a two-stage strategy to better segment the regions corresponding to the airport runway by applying the traditional region growing method and our priority directional (two orthogonal directions in our problem) region growing method sequentially. (d) In our runway segmentation algorithm, the ensemble-learning strategy is used to combine the growing results of each detected line segment. In addition, those thin side branches, which have significantly different width, are eliminated. To evaluate the effectiveness of our algorithm, extensive simulations are carried out on the testing images obtained from Google Map. Our experimental results show that the proposed algorithm can effectively and efficiently segmented the airport region, generate relatively neat boundaries of the runways, and have great superiority over the state-of-the-art methods.

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Fei Duan and Yu-Jin Zhang "A novel parallel algorithm for airport runway segmentation in satellite images using priority directional region growing strategy based on ensemble learning", Proc. SPIE 7872, Parallel Processing for Imaging Applications, 78720A (25 January 2011); https://doi.org/10.1117/12.872636

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KEYWORDS

Image segmentation

Earth observing sensors

Hough transforms

Satellite imaging

Satellites

Image processing algorithms and systems

Binary data

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