Semi-supervised Graph-based Hyperspectral Image Classification with Active Learning
Currently, it is difficult and time-consuming to obtain enough labeled samples for hyperspectral image(HSI) classification, while numerous unlabeled samples can be easily identified but unused. Here, in order to overcome these shortcomings, we proposed a semi-supervised graph-based combined with act...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Surveying and Mapping Press
2015-08-01
|
| Series: | Acta Geodaetica et Cartographica Sinica |
| Subjects: | |
| Online Access: | http://html.rhhz.net/CHXB/html/2015-8-919.htm |