論文

2017年12月1日

Collaborative total variation for hyperspectral pansharpening

International Geoscience and Remote Sensing Symposium (IGARSS)
  • P. Addesso
  • ,
  • M. Dalla Mura
  • ,
  • L. Condat
  • ,
  • R. Restaino
  • ,
  • G. Vivone
  • ,
  • D. Picone
  • ,
  • J. Chanussot

2017-July
開始ページ
2597
終了ページ
2600
記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/IGARSS.2017.8127527

© 2017 IEEE. Variational methods are widely used in image processing for problems ranging from denoising to data fusion. In this paper we focus on a recent regularization method, called Collaborative Total Variation, applied to the hyperspectral pansharpening, which deals with the fusion of low resolution hyperspectral and high resolution panchromatic images. The effectiveness of this novel approach is evaluated for different Collaborative Norms and the assessment is performed on the Pavia University dataset.

リンク情報
DOI
https://doi.org/10.1109/IGARSS.2017.8127527
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85041855616&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85041855616&origin=inward

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