Ghent University Academic Bibliography

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A deep-neural-network-based hybrid method for semi-supervised classification of polarimetric SAR data

Chi Liu, Wenzhi Liao (UGent) , Heng-Chao Li, Shaoguang Huang (UGent) and Wilfried Philips (UGent)

(2019) 2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR).
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Semi-supervised classification of polarimetric SAR images using Markov random field and two-level Wishart mixture model

Chi Liu, Wenzhi Liao (UGent) , Heng-Chao Li, Rui Wang and Wilfried Philips (UGent)

(2019) 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019). In IEEE International Symposium on Geoscience and Remote Sensing IGARSS p.990-993
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Variational textured dirichlet process mixture model with pairwise constraint for unsupervised classification of polarimetric SAR images

Chi Liu, Heng-Chao Li, Wenzhi Liao (UGent) , Wilfried Philips (UGent) and William Emery

(2019) IEEE TRANSACTIONS ON IMAGE PROCESSING. 28(8). p.4145-4160
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Unsupervised classification of multilook polarimetric SAR data using spatially variant wishart mixture model with double constraints

Chi Liu, Wenzhi Liao (UGent) , Heng-Chao Li, Kun Fu and Wilfried Philips (UGent)

(2018) IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 56(10). p.5600-5613
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Non-negative matrix factorization with mixture of Itakura-Saito divergence for SAR images

Chi Liu, Wenzhi Liao (UGent) , Heng-Chao Li and Wilfried Philips (UGent)

(2017) 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). p.779-782

Academic Bibliography

A deep-neural-network-based hybrid method for semi-supervised classification of polarimetric SAR data

Semi-supervised classification of polarimetric SAR images using Markov random field and two-level Wishart mixture model

Variational textured dirichlet process mixture model with pairwise constraint for unsupervised classification of polarimetric SAR images

Unsupervised classification of multilook polarimetric SAR data using spatially variant wishart mixture model with double constraints

Non-negative matrix factorization with mixture of Itakura-Saito divergence for SAR images

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