Training Strategies of Cnn for Land Cover Mapping with High Resolution Multi-Spectral Imagery in Senegal-Reference-Cited by-同舟云学术

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Training Strategies of Cnn for Land Cover Mapping with High Resolution Multi-Spectral Imagery in Senegal

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Le Minh Tri¹,Wessels Konrad¹,Caraballo-Vega Jordan²,Thomas Nathan³,Wooten Margaret²,Carroll Mark²,Neigh Christopher²

Affiliation:

1. George Mason University,Department of Geography and Geoinformation Science,VA,USA,22030

2. NASA/Goddard Spaceflight Center,Greenbelt,MD,USA,20771

3. University of Maryland College Park,Geographical Sciences Dept.

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283308.pdf?arnumber=10283308

Reference24 articles.

1. An unexpectedly large count of trees in the West African Sahara and Sahel

2. How transferable are features in deep neural networks?;yosinski,2014

3. Sub-continental-scale carbon stocks of individual trees in African drylands

4. Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances

5. Optimizing WorldView-2, -3 cloud masking using machine learning approaches

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. EO-Validation: Low Latency Commodity-Based Collaborative Validation Framework for Geoai Data Products;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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