| contributor author | Wei Li | |
| contributor author | Qian Du | |
| date accessioned | 2020-03-12T23:54:56Z | |
| date available | 2020-03-12T23:54:56Z | |
| date issued | 2014 | |
| identifier issn | 1939-1404 | |
| identifier other | 6779644.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1127921?show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Joint Within-Class Collaborative Representation for Hyperspectral Image Classification | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8307945 | |
| subject keywords | geophysical image processing | |
| subject keywords | hyperspectral imaging | |
| subject keywords | image classification | |
| subject keywords | remote sensing | |
| subject keywords | closed-form solution | |
| subject keywords | composite kernels | |
| subject keywords | hyperspectral image classification | |
| subject keywords | joint sparse representation | |
| subject keywords | joint within-class collaborative representation | |
| subject keywords | representation-based classification | |
| subject keywords | state-of-the-art techniques | |
| subject keywords | support vector machines | |
| subject keywords | test pixel | |
| subject keywords | Approximation methods | |
| subject keywords | Collaboration | |
| subject keywords | Hyperspectral imaging | |
| subject keywords | Joints | |
| subject keywords | Training | |
| subject keywords | Vectors | |
| subject keywords | Collaborative representation | |
| subject keywords | hyperspectral image | |
| subject keywords | pattern clas | |
| identifier doi | 10.1109/JSTARS.2014.2306956 | |
| journal title | Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of | |
| journal volume | 7 | |
| journal issue | 6 | |
| filesize | 2364135 | |
| citations | 0 | |
