High-resolution remote sensing image semantic segmentation based on semi-supervised full convolution network method
In the field of remote sensing, the method of realizing image semantic segmentation by using a large amount of label image data to supervise training full convolution network will result in expensive label drawing cost, while the use of a small amount of label data would lead to network performance...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Surveying and Mapping Press
2020-04-01
|
| Series: | Acta Geodaetica et Cartographica Sinica |
| Subjects: | |
| Online Access: | http://html.rhhz.net/CHXB/html/2020-4-499.htm |