Cross-Domain Land Cover Classification of Remote Sensing Images Based on Full-Level Domain Adaptation-Reference-Cited by-同舟云学术

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Cross-Domain Land Cover Classification of Remote Sensing Images Based on Full-Level Domain Adaptation

Published:2024 Issue: Volume:17 Page:11434-11450
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:

Meng Yuke¹^ORCID,Yuan Zhanliang¹,Yang Jian²^ORCID,Liu Peizhuo³,Yan Jian²,Zhu Hongbo⁴,Ma Zhigao¹,Jiang Zhenzhao¹,Zhang Zhouwei²^ORCID,Mi Xiaofei²^ORCID

Affiliation:

1. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China

2. National Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. Beihang University, Beijing, China

4. North China Institute of Aerospace Engineering, Langfang, China

Funder

National Key R&D Program of China

Major Project of High Resolution Earth Observation System

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10543030.pdf?arnumber=10543030

Reference60 articles.

1. Land cover mapping of large areas from satellites: Status and research priorities

2. Status of land cover classification accuracy assessment

3. Global Land Cover Mapping: A Review and Uncertainty Analysis

4. A survey of decision tree classifier methodology

5. Practical selection of SVM parameters and noise estimation for SVM regression

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