Browsing by author "Huang, Shaoguang"
Now showing items 1-9 of 9
-
A robust sparse representation model for hyperspectral image classification
Huang, Shaoguang; Zhang, Hongyan; Pizurica, Aleksandra (2017) -
Deep learning for paint loss detection with a multiscale, translation invariant network
Meeus, Laurens; Huang, Shaoguang; Devolder, Bart; Dubois, Hélène; Pizurica, Aleksandra (2019) -
Deep learning for paint loss detection: A case study on the Ghent altarpiece
Meeus, Laurens; Huang, Shaoguang; Devolder, Bart; Martens, Maximiliaan; Pizurica, Aleksandra (2018) -
Joint sparsity based sparse subspace clustering for hyperspectral images
Huang, Shaoguang; Zhang, Hongyan; Pizurica, Aleksandra (2018) -
Paint loss detection via kernel sparse representation
Huang, Shaoguang; Meeus, Laurens; Cornelis, Bruno; Devolder, Bart; Martens, Maximiliaan; Pizurica, Aleksandra (2018) -
Robust dynamic classifier selection for remote sensing image classification
Li, Meihzu; Huang, Shaoguang; Pizurica, Aleksandra (2019) -
Robust joint sparsity model for hyperspectral image classification
Huang, Shaoguang; Zhang, Hongyan; Liao, Wenzhi; Pizurica, Aleksandra (2018) -
Semisupervised sparse subspace clustering method with a joint sparsity constraint for hyperspectral remote sensing images
Huang, Shaoguang; Zhang, Hongyan; Pizurica, Aleksandra (2019) -
Sparse coding for the analysis of high-dimensional data: applications in remote sensing and art investigation
Huang, Shaoguang (2019-09)