2017年12月1日
Collaborative total variation for hyperspectral pansharpening
International Geoscience and Remote Sensing Symposium (IGARSS)
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- 巻
- 2017-July
- 号
- 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
- ID情報
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- DOI : 10.1109/IGARSS.2017.8127527
- SCOPUS ID : 85041855616