Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data

Long-Term Annual Mapping of Four Cities on Different Continents by Applying a Deep Information Learning Method to Landsat Data

Urbanization is a substantial contributor to anthropogenic environmental change, and often occurs at a rapid pace that demands frequent and accurate monitoring. Time series of satellite imagery collected at fine spatial resolution using stable spectral bands over decades are most desirable for this...

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Manylion Llyfryddiaeth
Prif Awduron: Haobo Lyu, Hui Lu, Lichao Mou, Wenyu Li, Jonathon Wright, Xuecao Li, Xinlu Li, Xiao Xiang Zhu, Jie Wang, Le Yu, Peng Gong
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: MDPI AG 2018-03-01
Cyfres:Remote Sensing
Pynciau:
urban mapping
deep learning
recurrent neural network
transfer learning
long time series
Mynediad Ar-lein:http://www.mdpi.com/2072-4292/10/3/471

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http://www.mdpi.com/2072-4292/10/3/471

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