Deep learning based dense matching for aerial remote sensing images
This work studied that the application of deep learning based stereo methods in aerial remote sensing images, including its performance evaluation, the comparison with classical methods and generalization ability estimation.Three convolution neural networks are applied, MC-CNN(matching cost convolut...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Surveying and Mapping Press
2019-09-01
|
| Series: | Acta Geodaetica et Cartographica Sinica |
| Subjects: | |
| Online Access: | http://html.rhhz.net/CHXB/html/2019-9-1141.htm |