Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1228007(2022)

Comparison of Water Information Extraction Algorithms Based on Sentinel-2A MSI Data

Lei Zhang1, Xiuzhen Han2、***, Fuzhong Weng3、*, and Zhongfeng Qiu1、**
Author Affiliations
  • 1School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu , China
  • 2National Satellite Meteorological Center, Beijing 100081, China
  • 3State Key Laboratory of Hazardous Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
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    Figures & Tables(11)
    Technology roadmap
    Schematic diagram of determining optimal segmentation threshold based on Otsu (shown by dotted abscissa)
    Comparison of extraction effects of 10 band index in different experimental areas
    F1-score of water identification results of all water index in different areas. (a) Mountain; (b) lake; (c) paddy field; (d) town; (e) river
    False alarm rate and dismissal alarm rate of water identification results of all water index in different areas. (a) Mountain; (b) lake; (c) paddy field; (d) town; (e) river
    Average accuracy indexes of each model in different regions. (a) F1-Score; (b) false alarm rate and dismissal alarm rate
    Display of recognition effect of each index for land and water boundary. (a) Paddy field area, rectangular box as main research area; (b) false color composite map of research area; (c)-(l) water body recognition results corresponding to each index model
    Identification accuracy of each index in mixed area of land and water. (a) F1-score; (b) false alarm rate; (c) dismissal alarm rate
    Variation of reflectance of different land features with Sentinel-2A MSI band
    • Table 1. Confusion matrix

      View table

      Table 1. Confusion matrix

      True valuePredicted value
      PositiveNegative
      PositiveTrue positive(TP)False negative(FN)
      NegativeFalse positive(FP)True negative(TN)
    • Table 2. Threshold and standard deviation of water index model

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      Table 2. Threshold and standard deviation of water index model

      AreaNDWIMNDWICIWIEWIRNDWIGNDWIAWEInshAWEIshFNDWISWI
      Standard deviation0.050.050.490.080.080.66363.52797.730.4741.81
      Mountain-0.110.110.24-0.44-0.031.23458.06-2108.45-1.89231.58
      Lake-0.080.081.34-0.27-0.11-0.48362.13-1911.47-0.49255.20
      Paddy field0.010.160.68-0.21-0.24-0.101268.90-835.45-1.45256.27
      Town000.06-0.293-0.0390.925782.24-152.43-0.92352.14
      River-0.090.050.03-0.38-0.050.921163.51-363.34-1.22259.38
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    Lei Zhang, Xiuzhen Han, Fuzhong Weng, Zhongfeng Qiu. Comparison of Water Information Extraction Algorithms Based on Sentinel-2A MSI Data[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1228007

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Sep. 3, 2021

    Accepted: Sep. 23, 2021

    Published Online: Jun. 6, 2022

    The Author Email: Xiuzhen Han (hanxz@cma.gov.cn), Fuzhong Weng (wengfz@cma.gov.cn), Zhongfeng Qiu (zhongfeng.qiu@nuist.edu.cn)

    DOI:10.3788/LOP202259.1228007

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