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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 18, Iss. 2 — Jan. 18, 2010
  • pp: 513–522

Remote sensing image registration approach based on a retrofitted SIFT algorithm and Lissajous-curve trajectories

Zhi-li Song, Sheng Li, and Thomas F. George  »View Author Affiliations

Optics Express, Vol. 18, Issue 2, pp. 513-522 (2010)

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Through retrofitting the descriptor of a scale-invariant feature transform (SIFT) and developing a new similarity measure function based on trajectories generated from Lissajous curves, a new remote sensing image registration approach is constructed, which is more robust and accurate than prior approaches. In complex cases where the correct rate of feature matching is below 20%, the retrofitted SIFT descriptor improves the correct rate to nearly 100%. Mostly, the similarity measure function makes it possible to quantitatively analyze the temporary change of the same geographic position.

© 2010 OSA

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.5010) Image processing : Pattern recognition
(100.3008) Image processing : Image recognition, algorithms and filters

ToC Category:
Image Processing

Original Manuscript: September 29, 2009
Revised Manuscript: November 2, 2009
Manuscript Accepted: November 16, 2009
Published: January 4, 2010

Zhi-li Song, Sheng Li, and Thomas F. George, "Remote sensing image registration approach based on a retrofitted SIFT algorithm and Lissajous-curve trajectories," Opt. Express 18, 513-522 (2010)

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