Iterative Deep Learning (IDL) for agricultural landscape classification using fine spatial resolution remotely sensed imagery
International Journal of Applied Earth Observation and Geoinformation(2021)
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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