Achieving high data compression of self-similar satellite images using fractal

@article{Woon2000AchievingHD,
  title={Achieving high data compression of self-similar satellite images using fractal},
  author={W. M. Woon and Anthony Tung Shuen Ho and Tao Yu and Siu Chung Tam and Siong-Chai Tan and Lian-Teck Yap},
  journal={IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120)},
  year={2000},
  volume={2},
  pages={609-611 vol.2}
}
  • W. M. WoonA. Ho Lian-Teck Yap
  • Published 24 July 2000
  • Physics
  • IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120)
The authors examine and describe an implementation of a fractal compression method on optical satellite images. The basic principle is that an image can be reconstructed by using the self similarities in the image itself. The satellite image is first partitioned into a set of non-overlapping ranges. For each range, a "best matching" domain block would be found and a set of affine transformation would be performed. The compression would be obtained by storing only the descriptions of this… 

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