Remote Sensing Image Fusion Using Multiscale Mapped LS-SVM

@article{Zheng2008RemoteSI,
  title={Remote Sensing Image Fusion Using Multiscale Mapped LS-SVM},
  author={Sheng Zheng and Wenzhong Shi and Jian Liu and Jin-Wen Tian},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2008},
  volume={46},
  pages={1313-1322}
}
The panchromatic (Pan) sharpening of multispectral (MS) bands is an important technique in the various applications of satellite remote sensing. This paper presents an MS Pan- sharpening method using the proposed multiscale mapped least-squares support vector machine (LS-SVM). Under the LS-SVM framework, the salient features underlying the image are represented by support values, and the support value transform (SVT) is developed for image information extraction. The low-resolution MS bands are… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 45 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 29 REFERENCES

Discrimination among semi-arid landscape endmembers using the Spectral Angle Mapper (SAM) algorithm

  • R. H. Yuhas, A.F.H. Goetz, J. W. Boardman
  • Proc. Summaries 4th JPL Airborne Earth Sci…
  • 1992
Highly Influential
7 Excerpts

Investigation of the dual-tree complex and shift-invariant discrete wavelet transforms on Quickbird image fusion

  • S. Ioannidou, V. Karathanassi
  • IEEE Geosci. Remote Sens. Lett., vol. 4, no. 1…
  • 2007
1 Excerpt

A new intensity–hue–saturation fusion approach to image fusion with a tradeoff parameter

  • M. Choi
  • IEEE Trans. Geosci. Remote Sens., vol. 44, no. 6…
  • 2006

Similar Papers

Loading similar papers…