| dc.contributor.author | Ma, X. | |
| dc.contributor.author | Hong, Y. | |
| dc.contributor.author | Song, Yongze
| |
| dc.contributor.author | Chen, Y. | |
| dc.date.accessioned | 2019-11-28T03:41:04Z | |
| dc.date.available | 2019-11-28T03:41:04Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Ma, X. and Hong, Y. and Song, Y. and Chen, Y. 2019. A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/77050 | |
| dc.identifier.doi | 10.1109/jstars.2019.2941089 | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
| dc.title | A Super-Resolution Convolutional-Neural-Network-Based Approach for Subpixel Mapping of Hyperspectral Images | |
| dc.type | Journal Article | |
| dcterms.source.startPage | 1 | |
| dcterms.source.endPage | 10 | |
| dcterms.source.title | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | |
| dc.date.updated | 2019-11-28T03:41:04Z | |
| curtin.department | School of Design and the Built Environment | |
| curtin.accessStatus | Fulltext not available | |
| curtin.faculty | Faculty of Humanities | |
| curtin.contributor.orcid | Song, Yongze [0000-0003-3420-9622] | |
| curtin.contributor.researcherid | Song, Yongze [F-1940-2018] | |
| curtin.contributor.scopusauthorid | Song, Yongze [56239251500] | |
