| contributor author | Yanfei Zhong | |
| contributor author | Ji Zhao | |
| contributor author | Liangpei Zhang | |
| date accessioned | 2020-03-12T23:51:23Z | |
| date available | 2020-03-12T23:51:23Z | |
| date issued | 2014 | |
| identifier issn | 0196-2892 | |
| identifier other | 6762969.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1125785?locale-attribute=en&show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A Hybrid Object-Oriented Conditional Random Field Classification Framework for High Spatial Resolution Remote Sensing Imagery | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8305484 | |
| subject keywords | geophysical image processing | |
| subject keywords | hyperspectral imaging | |
| subject keywords | image classification | |
| subject keywords | image fusion | |
| subject keywords | image resolution | |
| subject keywords | image segmentation | |
| subject keywords | object-oriented methods | |
| subject keywords | random processes | |
| subject keywords | remote sensing | |
| subject keywords | CRF | |
| subject keywords | HYDICE | |
| subject keywords | IKONOS | |
| subject keywords | QuickBird | |
| subject keywords | abundant geometric information | |
| subject keywords | connected component labeling algorithm | |
| subject keywords | high spatial resolution remote sensing imagery | |
| subject keywords | hybrid object-oriented conditional random field classification | |
| subject keywords | hyperspectral HSR image classification | |
| subject keywords | majority voting strategy | |
| subject keywords | multispectral HSR image | |
| subject keywords | object- | |
| identifier doi | 10.1109/TGRS.2014.2306692 | |
| journal title | Geoscience and Remote Sensing, IEEE Transactions on | |
| journal volume | 52 | |
| journal issue | 11 | |
| filesize | 2615289 | |
| citations | 0 | |
