Remote sensing image segmentation based on local fractal dimension

Xiao Mei Chen*, Guo Qiang Ni

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)136-139
Number of pages4
JournalGuangdian Gongcheng/Opto-Electronic Engineering
Volume35
Issue number1
Publication statusPublished - Jan 2008

Keywords

  • Fractal
  • Image segmentation
  • Local fractal dimension
  • Local triangular prism method
  • Remote sensing image

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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.