Robust Land Cover Classification With Local–Global Information Decoupling to Address Remote Sensing Anomalous Data-Reference-Cited by-同舟云学术

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Robust Land Cover Classification With Local–Global Information Decoupling to Address Remote Sensing Anomalous Data

Published:2024 Issue: Volume:17 Page:5774-5789
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:

Xiao Jianbo¹^ORCID,Cheng Taotao¹^ORCID,Chen Deliang¹^ORCID,Chen Hui²^ORCID,Li Ning²^ORCID,Lu Yanyan³^ORCID,Cheng Liang²^ORCID

Affiliation:

1. School of Geography and Bioinformatics, Nanjing University of Posts and Telecommunications, Nanjing, China

2. School of Geography and Ocean Science, Nanjing University, Nanjing, China

3. Institute of Natural Resources and Environment Audit, Nanjing Audit University, Nanjing, China

Funder

Jiangsu Province Postgraduate Research and Practice Innovation Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10417110.pdf?arnumber=10417110

Reference54 articles.

1. Optical remotely sensed time series data for land cover classification: A review

2. Soft Computing Techniques for Land Use and Land Cover Monitoring with Multispectral Remote Sensing Images: A Review

3. FENet: feature enhancement network for land cover classification

4. Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data‐Poor Regions

5. Application of Remote Sensing in Water Resource Management: The Case Study of Lake Trasimeno, Italy

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. A Dual Phase Approach for Addressing Class Imbalance in Land-Use and Land-Cover Mapping From Remotely Sensed Images;IEEE Access;2024

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