Unsupervised Remote Sensing Domain Adaptation Method with Adversarial Network and Auxiliary Task

Unsupervised Remote Sensing Domain Adaptation Method with Adversarial Network and Auxiliary Task

An important prerequisite when annotating the remote sensing images by machine learning is that there are enough training samples for training, but labeling the samples is very time-consuming. In this paper, we solve the problem of unsupervised learning with small sample size in remote sensing image...

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Bibliographic Details
Main Authors: XU Suhui, MU Xiaodong, ZHANG Xiongmei, CHAI Dong
Format: Article
Language:zho
Published: Surveying and Mapping Press 2017-12-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
remote sensing image
scene classification
domain adaptation
deep convolutional neural network
adversarial network
multi-task learning
Online Access:http://html.rhhz.net/CHXB/html/2017-12-1969.htm

Internet

http://html.rhhz.net/CHXB/html/2017-12-1969.htm

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