Miguel Vega

Computer Vision and Pattern Recognition · 2011–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Miguel Vega trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Thierry Ranchin
  2. Luciano Alparone
  3. Zhou Wang
  4. Lucien Wald
  5. Stéphane Mallat
  6. Bruno Aiazzi
  7. María González-Audicana

Papers from Miguel Vega's perspective

Ordered by how strongly the researchers Miguel Vega trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis (IEEE Transactions on Geoscience and Remote Sensing)
  2. A universal image quality index (IEEE Signal Processing Letters)
  3. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  4. Fusion of high spatial and spectral resolution images : The ARSIS concept and its implementation
  5. Data Fusion. Definitions and Architectures - Fusion of Images of Different Spatial Resolutions
  6. A new look at IHS-like image fusion methods
  7. A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery (IEEE Geoscience and Remote Sensing Letters)
  8. Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods (IEEE Transactions on Geoscience and Remote Sensing)
  9. Comparison of Pansharpening Algorithms: Outcome of the 2006 GRS-S Data-Fusion Contest (IEEE Transactions on Geoscience and Remote Sensing)
  10. Image fusion—the ARSIS concept and some successful implementation schemes

Their papers