Multispectral Semantic Segmentation for Land Cover Classification: An Overview
Author:
Affiliation:
1. Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, Spain
Funder
Air Force Office of Scientific Research
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/4609443/10330207/10623211.pdf?arnumber=10623211
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1. A review on change detection method and accuracy assessment for land use land cover
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3. Land use and land cover change simulation enhanced by asynchronous communicating cellular automata
4. Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated training samples
5. Classification of Surface Natural Resources based On U-NET and GF-1 Satellite Images
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