A semi-automatic method based on level set for areas feature extraction from aerial and satellite images

Yu Zhang; Xiaodong Zhang

doi:10.1117/12.713158

28 October 2006 A semi-automatic method based on level set for areas feature extraction from aerial and satellite images

Yu Zhang, Xiaodong Zhang

Author Affiliations +

Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 64191A (2006) https://doi.org/10.1117/12.713158
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

This paper introduces a new semi-automatic method to extract regions of interest (ROI) from aerial and satellite images. It uses a geometric active contour, which is based on level sets method, to segment and extract the interesting area which has complicated topological structures. A simple Mumford-Shah functional is defined as an energy function and the Gaussian PDF is adopted to represent the distribution of intensity. A specified polygon is used as both initiate data and the range in which contour evolve. We give some examples of ROI extraction on various aerial and satellite images. Experimental results show that our proposed method has strong capability to deal with the extraction of areas which has a complex topological structure.

Citation Download Citation

Yu Zhang and Xiaodong Zhang "A semi-automatic method based on level set for areas feature extraction from aerial and satellite images", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64191A (28 October 2006); https://doi.org/10.1117/12.713158

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