Iterative Training Sample Augmentation for Enhancing Land Cover Change Detection Performance With Deep Learning Neural Network-Reference-Cited by-同舟云学术

Iterative Training Sample Augmentation for Enhancing Land Cover Change Detection Performance With Deep Learning Neural Network

Published:2023 Issue: Volume: Page:1-14
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Lv Zhiyong¹^ORCID,Huang Haitao¹,Sun Weiwei²^ORCID,Jia Meng¹^ORCID,Benediktsson Jón Atli³^ORCID,Chen Fengrui⁴

Affiliation:

1. Shaanxi Key Laboratory of Network Computing and Security Technology, School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China

2. Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China

3. Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavík, Iceland

4. Ministry of Education, Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng, China

Funder

National Science Foundation China

Zhejiang Province “Pioneering Soldier” and “Leading Goose” Research and Development Project

Public Projects of Ningbo City

Ningbo Science and Technology Innovation 2025 Major Special Project

Zhejiang Provincial Natural Science Foundation of China

Natural Science Basic Research Program of Shaanxi

Open Fund of Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10158731.pdf?arnumber=10158731

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