Yi Liu

Orcid: 0000-0002-7168-9082

Affiliations:
  • Norwegian University of Science and Technology, Department of Electronic Systems, Trondheim, Norway
  • University of Extremadura, Department of Technology of Computers and Communications, Hyperspectral Computing Laboratory, Badajoz, Spain (PhD 2017)


According to our database1, Yi Liu authored at least 12 papers between 2012 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Convex Formulation for Multiband Image Classification With Superpixel-Based Spatial Regularization.
IEEE Trans. Geosci. Remote. Sens., 2018

Evaluation of Different Regularization Methods for the Extreme Learning Machine Applied to Hyperspectral Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Class-Oriented Spectral Partitioning for Remotely Sensed Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

A new classification-oriented endmember extraction and sparse unmixing approach for hyperspectral data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Hyperspectral cloud shadow removal based on linear unmixing.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Multi-superpixelization-based convex formulation for joint classification of hyperspectral and lidar data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Spectrometer-Driven Spectral Partitioning for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Convex formulation for hyperspectral image classification with superpixels.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Class-oriented spectral partitioning for hyperspectral image classification.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Spectrometer-driven spectral partitioning for hyperspectral image classification.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Spectral partitioning for hyperspectral remote sensing image classification.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2012
Multiple Classifier System for Remote Sensing Image Classification: A Review.
Sensors, 2012


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