The reconstruction of satellite images based on fractal interpolation

Ching Ju Chen, Shu Chen Cheng, Y. M. Huang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


This study discussed the application of a fractal interpolation method in satellite image data reconstruction. It used low-resolution images as the source data for fractal interpolation reconstruction. Using this approach, a high-resolution image can be reconstructed when there is only a low-resolution source image available. The results showed that the high-resolution image data from fractal interpolation can effectively enhance the sharpness of the border contours. Implementing fractal interpolation on an insufficient image resolution image can avoid jagged edges and mosaic when enlarging the image, as well as improve the visibility of object features in the region of interest. The proposed approach can thus be a useful tool in land classification by satellite images.

Original languageEnglish
Pages (from-to)347-354
Number of pages8
Issue number3
Publication statusPublished - 2011 Sep 1

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Geometry and Topology
  • Applied Mathematics


Dive into the research topics of 'The reconstruction of satellite images based on fractal interpolation'. Together they form a unique fingerprint.

Cite this