Object Detection with an Improved Level Set Method

Author:

Cao Hui1,Cheng Bo1

Affiliation:

1. Center for Earth Observation and Digital Earth

Abstract

Object detection is quite an important research in remote sensing image analysis. In this paper, we propose an edge and region based model for high resolution remote sensing image segmentation with level set formulation. Our method firstly made an image enhancement based on ROI (Region of Interest). By introducing the edge speed-up function, we can save time through decreasing the iterations and get a flexible segmentation considering the complexity of high resolution remote sensing image. Our method has been preliminarily applied to QuickBird and aerial images.

Publisher

Trans Tech Publications, Ltd.

Reference17 articles.

1. Chunming. Li, Chenyang. Xu, et al: IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 1 (2005), p.430.

2. Chunming. Li, Chiu-Yen. Kao, et al: IEEE Transactions on Image Processing . Vol. 17 (2008), p. (1940).

3. G. Cao, X. Yang: International Journal of Remote Sensing. Vol. 28(2007), p.1747.

4. Dandan Gu, Xili Wang: Journal of Computer Applications. Vol. 30(2010), p.433, In Chinese.

5. Shijin Li, Wanguo Wang, et al: National Conference of Pattern Recognition. (2010), p.1.

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