Laser & Optoelectronics Progress, Volume. 56, Issue 10, 102802(2019)

Cloud Detectionof ZY-3 Remote Sensing Images Based on Fully Convolutional Neural Network and Conditional Random Field

Liang Pei, Yang Liu*, and Lin Gao
Author Affiliations
  • School of Geomatics, Liaoning Technical University, Fuxin, Liaoning 123000, China
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    Figures & Tables(6)
    Flow chart of proposed algorithm
    Principle diagram of fully convolutional network
    Input images and label pictures. (a) Input image 1; (b) label picture 1; (c) input image 2; (d) label picture 2
    Comparison of cloud detection results with different methods. (a) Input image; (b) label picture; (c) FCN+CRF; (d) MyFCN; (e) FCN-8s; (f) FCM+SVM
    • Table 1. Structural code mapping in improved fully convolutional neural network algorithm

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      Table 1. Structural code mapping in improved fully convolutional neural network algorithm

      From top to bottomFrom bottom to top
      Conv1_1-64n-3×3k-‘relu’
      Conv1_2-64n-3×3k-‘relu’
      Pool1-2×2 max poolingDeconv9-64n-3×3k-‘relu’
      Conv2_1-128n-3×3k-‘relu’Conv8_1-128n-3×3k-‘relu’
      Conv2_2-128n-3×3k-‘relu’Conv8_2-128n-3×3k-‘relu’
      Pool2-2×2 max poolingMerge8 (conv2_2, Deconv8)
      Conv3_1-256n-3×3k-‘relu’Deconv8-128n-3×3k-‘relu’
      Conv3_2-256n-3×3k-‘relu’Conv7_2-256n-3×3k-‘relu’
      Pool3-2×2 max poolingConv7_1-256n-3×3k-‘relu’
      Conv4_1-512n-3×3k-‘relu’Merge7 (conv3_2, Deconv7)
      Conv4_2-512n-3×3k-‘relu’Conv7-256n-3×3k-‘relu’
      Drop4-dropout (0.5)Conv6_2-512n-3×3k-‘relu’
      Pool4-2×2 max poolingConv6_1-512n-3×3k-‘relu’
      Conv5_1-1024n-3×3k-‘relu’Merge6 (drop4, Deconv6)
      Conv5_2-1024n-3×3k-‘relu’Deconv6-512n-3×3k-‘relu’
    • Table 2. Comparison of accuracy and detection time of cloud area detection by different methods

      View table

      Table 2. Comparison of accuracy and detection time of cloud area detection by different methods

      ItemFCN+CRFMyFCNFCN-8sFCM+SVM
      Raccuracy /%97.3890.1183.9683.72
      Rprecision /%99.7096.9294.1584.89
      Rrecall /%96.7790.3685.3584.61
      RF1measure /%98.2293.5389.5384.75
      Detection time /s-0.462.24>60
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    Liang Pei, Yang Liu, Lin Gao. Cloud Detectionof ZY-3 Remote Sensing Images Based on Fully Convolutional Neural Network and Conditional Random Field[J]. Laser & Optoelectronics Progress, 2019, 56(10): 102802

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Sep. 25, 2018

    Accepted: Nov. 22, 2018

    Published Online: Jul. 4, 2019

    The Author Email: Yang Liu (764039378@qq.com)

    DOI:10.3788/LOP56.102802

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