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Volume 42 Issue 9
Nov.  2020
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Article Contents
Cui Yanrong,Zou Bin,Han Zhen, et al. Application of convolutional neural networks in satellite remote sensing sea ice image classification: A case study of sea ice in the Bohai Sea[J]. Haiyang Xuebao,2020, 42(9):100–109 doi: 10.3969/j.issn.0253-4193.2020.09.011
Citation: Cui Yanrong,Zou Bin,Han Zhen, et al. Application of convolutional neural networks in satellite remote sensing sea ice image classification: A case study of sea ice in the Bohai Sea[J]. Haiyang Xuebao,2020, 42(9):100–109 doi: 10.3969/j.issn.0253-4193.2020.09.011

Application of convolutional neural networks in satellite remote sensing sea ice image classification: A case study of sea ice in the Bohai Sea

doi: 10.3969/j.issn.0253-4193.2020.09.011
  • Received Date: 2019-07-03
  • Rev Recd Date: 2020-01-07
  • Available Online: 2021-04-21
  • Publish Date: 2020-09-25
  • This paper constructs a convolutional neural network based on TensorFlow. According to the idea of migration learning, the classical handwritten digit recognition is introduced as an introduction. The influence of different cost functions and activation function combinations on the classification results of convolutional neural network models is evaluated. Taking HJ-1A/B sea ice images as experimental data source, we analysis the influence of different function combinations on remote sensing sea ice image classification. It turns out that the cross-entropy cost function and the ReLU activation function are optimally combined. The feasibility of CNN in remote sensing sea ice classification is proved, and the classification results of the sea ice images in the Bohai Sea are verified. The calibration accuracy of the labeled samples is 98.4%. The model is then used to identify the unlabeled test samples. The influence of the window size on the sea ice classification results is discussed, and the optimal window size is 2×2 in the 400×400 small-scale classification experiment. Finally, the identification and verification of the entire Bohai Sea area is carried out, and the effect is good.
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