dc.contributor.author | Huang, Shaoguang | |
dc.contributor.author | Zhang, Hongyan | |
dc.contributor.author | Liao, Wenzhi | |
dc.contributor.author | Pizurica, Aleksandra | |
dc.date.accessioned | 2021-10-25T20:01:24Z | |
dc.date.available | 2021-10-25T20:01:24Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/30918 | |
dc.source | IIOimport | |
dc.title | Robust joint sparsity model for hyperspectral image classification | |
dc.type | Proceedings paper | |
dc.contributor.imecauthor | Huang, Shaoguang | |
dc.contributor.imecauthor | Liao, Wenzhi | |
dc.date.embargo | 9999-12-31 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 3130 | |
dc.source.endpage | 3134 | |
dc.source.conference | 24th IEEE International Conference on Image Processing - ICIP | |
dc.source.conferencedate | 17/09/2017 | |
dc.source.conferencelocation | Beijing China | |
dc.identifier.url | https://ieeexplore.ieee.org/document/8296859 | |
imec.availability | Published - open access | |