Giona Matasci

According to our database1, Giona Matasci authored at least 13 papers between 2009 and 2017.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2017
A space-time data cube: Multi-temporal forest structure maps from landsat and lidar.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2015
Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2015

2014
Semi-supervised multiview embedding for hyperspectral data classification.
Neurocomputing, 2014

Hierarchical sparse representation for dictionary-based classification of hyperspectral images.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Domain adaptation in remote sensing through cross-image synthesis with dictionaries.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Statistical assessment of dataset shift and model portability in multi-angle in-track image acquisitions.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification.
Proceedings of the ICPRAM 2013, 2013

Multi-view feature extraction for hyperspectral image classification.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
SVM-Based Boosting of Active Learning Strategies for Efficient Domain Adaptation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012

Enhanced change detection using nonlinear feature extraction.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Domain separation for efficient adaptive active learning.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
Learning Relevant Image Features With Multiple-Kernel Classification.
IEEE Trans. Geosci. Remote. Sens., 2010

2009
Learning the Relevant Image Features with Multiple Kernels.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009


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