Unsupervised Domain Adaptation for Remote Sensing Image Semantic Segmentation Using Region and Category Adaptive Domain Discriminator
Author:
Affiliation:
1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China
Funder
National Science Foundation for China
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing Special Research Funding
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09864210.pdf?arnumber=9864210
Reference50 articles.
1. Deep Residual Learning for Image Recognition
2. Unsupervised domain adaptation by backpropagation;ganin;Proc ICML,2015
3. Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images
4. Understanding angular effects in VHR imagery and their significance for urban land-cover model portability: A study of two multi-angle in-track image sequences
5. Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification
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