Remote sensing image segmentation based on local fractal dimension

Xiao Mei Chen*, Guo Qiang Ni

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

5 引用 (Scopus)

摘要

According to the fractal characters of remote sensing image, the image was segmented with the Local Fractal Dimension (LFD). The pyramid model instead of local window model was used to decrease the computation time in computing local triangular prism. Compared with traditional method, a new recursive procedure was designed to decrease the needed memory capacity. The experiment results on remote sensing image segmentation show that the improved method effectively increases the speed of image segmentation based on the texture, and keeps the accurateness of the fractal dimension with the triangular prism method.

源语言英语
页(从-至)136-139
页数4
期刊Guangdian Gongcheng/Opto-Electronic Engineering
35
1
出版状态已出版 - 1月 2008

指纹

探究 'Remote sensing image segmentation based on local fractal dimension' 的科研主题。它们共同构成独一无二的指纹。

引用此

Chen, X. M., & Ni, G. Q. (2008). Remote sensing image segmentation based on local fractal dimension. Guangdian Gongcheng/Opto-Electronic Engineering, 35(1), 136-139.