Luca Capobianco
Computer Vision and Pattern Recognition · 2008
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 10 citations into it; #7,849 of 21,575 by trust here, #14,478 by citations
- Media Technology — 10 citations into it; #971 of 3,621 by trust here, #1,923 by citations
Whom Luca Capobianco trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Luciano Alparone
- Bruno Aiazzi
- Thierry Ranchin
- Stefano Baronti
- María González-Audicana
- Andrea Garzelli
- Filippo Nencini
Who trusts Luca Capobianco overall
Papers from Luca Capobianco's perspective
Ordered by how strongly the researchers Luca Capobianco trusts endorse each paper. Same corpus, a different order for every researcher.
- Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods (IEEE Transactions on Geoscience and Remote Sensing)
- Fusion of high spatial and spectral resolution images : The ARSIS concept and its implementation
- Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest (IEEE Transactions on Geoscience and Remote Sensing)
- Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis (IEEE Transactions on Geoscience and Remote Sensing)
- Image fusion—the ARSIS concept and some successful implementation schemes
- A global quality measurement of pan-sharpened multispectral imagery (IEEE Geoscience and Remote Sensing Letters)
- Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition (IEEE Transactions on Geoscience and Remote Sensing)
- MTF-tailored Multiscale Fusion of High-resolution MS and Pan Imagery
- Remote sensing image fusion using the curvelet transform (Information Fusion)
- Data Fusion. Definitions and Architectures - Fusion of Images of Different Spatial Resolutions
Their papers
- Optimal MMSE Pan Sharpening of Very High Resolution Multispectral Images (2008) — 558 citations