Iterative Deep Learning (IDL) for agricultural landscape classification using fine spatial resolution remotely sensed imagery

International Journal of Applied Earth Observation and Geoinformation(2021)

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摘要
•A novel Iterative Deep Learning (IDL) was proposed for crop classification.•IDL models relationship between low-level crop (LLC) and high-level crop (HLC).•LLC classification and HLC classification refine each other through interaction.•IDL consistently achieved the greatest accuracy in comparison to benchmarks.
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关键词
Image classification,Hierarchical crop classification,Iterative deep learning,Object-based image analysis (OBIA),Convolutional neural network (CNN)
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