Deep learning based dense matching for aerial remote sensing images

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...

Full description

Bibliographic Details
Main Authors: LIU Jin, JI Shunping
Format: Article
Language:zho
Published: Surveying and Mapping Press 2019-09-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
stereo matching
dense matching
aerial images
convolutional neural network
deep learning
Online Access:http://html.rhhz.net/CHXB/html/2019-9-1141.htm

Internet

http://html.rhhz.net/CHXB/html/2019-9-1141.htm

Similar Items