Adversarial Learning Based Discriminative Domain Adaptation for Geospatial Image Analysis-Reference-Cited by-同舟云学术

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Adversarial Learning Based Discriminative Domain Adaptation for Geospatial Image Analysis

Published:2022 Issue: Volume:15 Page:150-162
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Makkar Nikhil^ORCID,Yang Lexie^ORCID,Prasad Saurabh

Funder

Oak Ridge National Laboratory, UT-Battelle, LLC

U.S. Department of Energy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

https://ieeexplore.ieee.org/ielam/4609443/9656571/9633185-aam.pdf

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unsupervised domain adaptation for the semantic segmentation of remote sensing images via a class-aware Fourier transform and a fine-grained discriminator;Digital Signal Processing;2024-08

2. Open-set domain adaptation for scene classification using multi-adversarial learning;ISPRS Journal of Photogrammetry and Remote Sensing;2024-02

3. Domain Adaptive Remote Sensing Scene Classification With Middle-Layer Feature Extraction and Nuclear Norm Maximization;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. Boundary-Aware Adversarial Learning Domain Adaption and Active Learning for Cross-Sensor Building Extraction;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. Cross-Domain Land Cover Classification of Remote Sensing Images Based on Full-Level Domain Adaptation;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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