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Remote Sensing Technology and Application  2022, Vol. 37 Issue (4): 1003-1011    DOI: 10.11873/j.issn.1004-0323.2022.4.1003
    
Improved Otsu Algorithm for Water Extraction based on Sentinel-1 Dual-polarization Data
Qi Feng1(),Qi Wang1,Hailan Huang1,2(),Zhengqiang Wang3
1.School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China
2.Key Laboratory of Geospace Environment and Geodesy,Minstry of Education,Wuhan University,Wuhan 430079,China
3.Baoji Institute of Surveying and Mapping,Baoji 721000,China
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Abstract  

Threshold segmentation method based on SAR image is one of the commonly used methods for effective extraction of water information. In view of the problem of low accuracy and high noise for water extraction on SAR image by Otsu algorithm, a new method based on Otsu algorithm is proposed using C-band Sentinel-1 SAR as the data source. This method constructs natural exponential function based on dual-polarization data to optimize the histogram distribution of pixels in original Sentinel-1 image firstly, and then combines Otsu algorithm to extract water information from image, at last removes the wrongly extracted hill shade based on DEM. The accuracy is evaluated by using optical images of Landsat 8 as the real water information. The results show that the accuracy of water extraction for the proposed method is superior to traditional Otsu algorithm in the case of different water proportions, accuracy of which increased by about 20—60% while water proportion less than 10%. Moreover, this proposed method has low noise and wide applicability features, which can be used for obtaining water information of large area quickly and efficiently.

Key words:  Water extraction      Sentinel-1      SAR      Otsu algorithm      Dual-polarization     
Received:  21 March 2021      Published:  28 September 2022
P332  
Corresponding Authors:  Hailan Huang     E-mail:  1367555295@qq.com;hlhuang@sgg.whu.edu.cn
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Qi Feng
Qi Wang
Hailan Huang
Zhengqiang Wang

Cite this article: 

Qi Feng,Qi Wang,Hailan Huang,Zhengqiang Wang. Improved Otsu Algorithm for Water Extraction based on Sentinel-1 Dual-polarization Data. Remote Sensing Technology and Application, 2022, 37(4): 1003-1011.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2022.4.1003     OR     http://www.rsta.ac.cn/EN/Y2022/V37/I4/1003

Fig.1  Location of the Study area
Fig.2  Flowchart of this study
Fig.3  The histograms and images of VV、VH and Dual-polarization operation of sample area 4
Fig.4  The results of removing mountain shadow for sample area 4
Fig.5  Image histograms of samples corresponding to different methods
Fig.6  Results of water bodies in samples extracted by different methods
样区P/%PR/%F1/%
本文方法Otsu本文方法Otsu本文方法Otsu
VVVHVVVHVVVH
样区168.476.927.2470.1292.1287.5769.2812.9513.37
样区287.7517.3551.9175.4588.8884.7081.1429.0464.37
样区382.0546.1152.9881.4487.0088.2881.7460.2866.22
样区490.2468.4085.2584.5088.4988.3087.2877.1686.75
样区594.7390.5788.7290.8091.9594.2092.7291.2591.37
样区697.8095.8895.8895.4496.2596.8396.6096.0796.35
Table1  Accuracy evalution table of water extracted by different methods
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