HyUniDA: Breaking Label Set Constraints for Universal Domain Adaptation in Cross-Scene Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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HyUniDA: Breaking Label Set Constraints for Universal Domain Adaptation in Cross-Scene Hyperspectral Image Classification

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Qingmei¹^ORCID,Wen Yibin²^ORCID,Zheng Juepeng²^ORCID,Zhang Yuxiang³,Fu Haohuan⁴^ORCID

Affiliation:

1. College of Engineering, Peking University, Beijing, China

2. School of Artificial Intelligence, Sun Yat-sen University, Zhuhai, China

3. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

4. Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

Funder

National Natural Science Foundation of China

Jiangsu Innovation Capacity Building Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10530296.pdf?arnumber=10530296

Reference65 articles.

1. Cross-Scene Hyperspectral Image Classification With Discriminative Cooperative Alignment

2. The Potential of Hyperspectral Image Classification for Oil Spill Mapping

3. Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft

4. Estimating the Forage Neutral Detergent Fiber Content of Alpine Grassland in the Tibetan Plateau Using Hyperspectral Data and Machine Learning Algorithms

5. Surveying coconut trees using high-resolution satellite imagery in remote atolls of the Pacific Ocean

Cited by 1 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. Universal Domain Adaptation for Hyperspectral Image Classification;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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