Total rectangle matching approach for road extraction from high-resolution remote sensing images

C. Q. Zhu; Y. Yang; Q. S. Wang; F. Zou

doi:10.1117/12.713405

28 October 2006 Total rectangle matching approach for road extraction from high-resolution remote sensing images

C. Q. Zhu, Y. Yang, Q. S. Wang, F. Zou

Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 641925 (2006) https://doi.org/10.1117/12.713405
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

With the development of remote sensors, high-resolution satellite data such as QuickBird, IKONOS images have been available widely. Thus, remote sensing technologies can be successfully applied to more application areas such as extracting roads from the high-resolution images. This paper represents a total rectangle matching approach to extract straight roads of urban areas from high-resolution remote sensing images. The approach is based on the characteristics of the high-resolution remote sensing image, the knowledge about the road and the hit-miss transformation of mathematical morphology. It is implemented by matching rectangles from the inside to the outside to meet the optimized criterion through changing the threshold of image segmentation, the width and direction of rectangle. Experimental results on high-resolution satellite images demonstrate that the proposed approach can eliminate the influence of noise (trees, vehicles etc.), and extract the straight roads effectively.

Citation Download Citation

C. Q. Zhu, Y. Yang, Q. S. Wang, and F. Zou "Total rectangle matching approach for road extraction from high-resolution remote sensing images", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 641925 (28 October 2006); https://doi.org/10.1117/12.713405

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