Using different training strategies for urban land-use classification based on convolutional neural networks
Urban land-use scene classification from high-resolution remote-sensing imagery at high quality and accuracy is of paramount interest for urban planning, government policy-making and urban change detection. In recent years, urban land-use classification has become an ongoing task in areas addressabl...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-08-01
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Series: | Frontiers in Environmental Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.981486/full |