Mitigating Incidence Angle Effects in Airborne SAR Time-Series Crop Classification: Integrating Transfer Learning and Variational Mode Decomposition-Reference-Cited by-同舟云学术

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Mitigating Incidence Angle Effects in Airborne SAR Time-Series Crop Classification: Integrating Transfer Learning and Variational Mode Decomposition

Published:2024 Issue: Volume:17 Page:14502-14520
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:

Qin Xingli¹^ORCID,Zhao Lingli²^ORCID,Yang Jie³,Li Pingxiang³,Zeng Hongwei¹^ORCID,Zhang Miao¹^ORCID,Sun Kaimin³

Affiliation:

1. Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Agricultural Remote Sensing Innovation Team Project of AIRCAS

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10623253.pdf?arnumber=10623253

Reference50 articles.

1. The challenges of sustainably feeding a growing planet

2. Challenges and opportunities in remote sensing-based crop monitoring: a review

3. Global Crop Monitoring: A Satellite-Based Hierarchical Approach

4. Mapping global cropland and field size

5. Public policies for improving food and nutrition security at different scales

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