Improved Otsu Algorithm for Water Extraction based on Sentinel-1 Dual-polarization Data

doi:10.11873/j.issn.1004-0323.2022.4.1003

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 Huang^1,²(

),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

Download:

HTML

PDF (9980KB)
Export: BibTeX | EndNote (RIS)

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

	Service
	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	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.

URL:

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

Table1 Accuracy evalution table of water extracted by different methods

1	Zhou Peng， Xie Yuanli， Jiang Guangxin，et al. Advances on water body information extraction from remote sensing imagery［J］. Remote Sensing Information，2020，35（5）：9-18.
1	周鹏，谢元礼，蒋广鑫，等. 遥感影像水体信息提取研究进展［J］. 遥感信息，2020，35（5）：9-18.
2	Chen Lingyan， Liu Zhi， Zhang Hong. SAR image water extraction based on scattering characteristics［J］. Remote Sensing Technology and Application，2014，29（6）：963-969.
2	陈玲艳，刘智，张红. 基于水体散射特性的SAR图像水体检测［J］. 遥感技术与应用，2014，29（6）：963-969.
3	Sun Yayong， Huang Shifeng， Li Jiren，et al. The downstream flood monitoring application of myanmar irrawaddy river based on sentinel-1A SAR［J］. Remote Sensing Technology and Application，2017，32（2）：282-288.
3	孙亚勇，黄诗峰，李纪人，等. Sentinel-1A SAR数据在缅甸伊洛瓦底江下游区洪水监测中的应用［J］. 遥感技术与应用，2017，32（2）：282-288.
4	Su Longfei， Li Zhenxuan， Gao Fei，et al. A review of remote sensing image water extraction［J］. Remote Sensing for Land and Resources，2021，33（1）：9-19.
4	苏龙飞，李振轩，高飞，等. 遥感影像水体提取研究综述［J］. 国土资源遥感，2021，33（1）：9-19.］
5	An Chengjin， Niu Zhaodong， Li Zhijun，et al. Otsu threshold comparison and SAR water segmentation result analysis［J］. Journal of Electronics & Information Technology，2010，32（9）：2215-2219.
5	安成锦，牛照东，李志军，等. 典型Otsu算法阈值比较及其SAR图像水域分割性能分析［J］. 电子与信息学报，2010，32（9）：2215-2219.
6	Deng Ying， Zhang Hong， Wang Chao，et al. An object-oriented water extraction method based on texture and polarimetric decomposition feature［J］. Remote Sensing Technology and Application，2016，31（4）：714-723.
6	邓滢，张红，王超，等. 结合纹理与极化分解的面向对象极化SAR水体提取方法［J］. 遥感技术与应用，2016，31（4）：714-723.
7	Guo Xin， Zhao Yindi. Floodinundation monitoring in Ningxiang of Hunan province based on Sentinel-1A SAR［J］. Remote Sensing Technology and Application，2018，33（4）：646-656.
7	郭欣，赵银娣. 基于Sentinel-1A SAR的湖南省宁乡市洪水淹没监测［J］. 遥感技术与应用，2018，33（4）：646-656.
8	Li Jianfeng， Zhang Zongke， Wei Xianhu，et al. Research on quick extraction model of flood inundation range［J］. Journal of Irrigation and Drainage，2021，40（S1）：26-32.
8	李健锋，张宗科，魏显虎，等. 洪水淹没范围快速提取模型研究［J］. 灌溉排水学报，2021，40（）：26-32.
9	Lee S U， Chung S Y， Park R H. A comparative performance study of several global thresholding techniques for segmentation［J］. Computer Vision，Graphics，and Image Processing，1990，51（2）：171-191.
10	Zhu Jun， Wang Shixi， Ji Kefeng，et al. Improved 2D Otsu algorithm for SAR images［J］. Journal of Image and Graphics，2009，14（1）：14-18.
10	朱俊，王世唏，计科峰，等. 一种适用于SAR图像的2维Otsu改进算法［J］. 中国图象图形学报，2009，14（1）：14-18.
11	Yang Cunjian， Wei Yiming， Wang Siyuan，et al. Extracting the flood extent from SAR imagery on basis of DEM［J］. Journal of Natural Disasters，2002，21（3）：121-125.
11	杨存建，魏一鸣，王思远，等. 基于DEM的SAR图像洪水水体的提取［J］. 自然灾害学报，2002，21（3）：121-125.
12	Li Yü， Yang Yun， Zhao Quanhua. Waterbody extraction from SAR imagery based on improved speckle reducing anisotropic diffusion and maximum between-cluster variance［J］.Journal of Geo-information Science，2019，21（6）：907-917.
12	李玉，杨蕴，赵泉华.结合改进的降斑各向异性扩散和最大类间方差的SAR图像水体提取［J］.地球信息科学学报，2019，21（6）：907-917.
13	Jin Xiaojun， Cai Anni， Sun Jing’ao. Image segmentation based on 2D maximum between-cluster variance［J］. Journal on Communications，2001，22（4）：71-76.
13	景晓军，蔡安妮，孙景鳌. 一种基于二维最大类间方差的图像分割算法［J］. 通信学报，2001，22（4）：71-76.
14	Fan Jiulun， Zhao Feng， Zhang Xuefeng. Recursive algorithm for three-dimensional Otsu's thresholding segmentation method［J］. Acta Electronica Sinica，2007，35（7）：1398-1402.
14	范九伦，赵凤，张雪峰. 三维Otsu阈值分割方法的递推算法［J］. 电子学报，2007，35（7）：1398-1402.
15	Yang Jinlong， Zhang Guangnan， Li Shuzhong，et al. Study of image segmentation algorithm based on two-dimensional histogram［J］. Laser & Infrared，2008，38（4）：400-403.
15	杨金龙，张光南，厉树忠，等. 基于二维直方图的图像分割算法研究［J］. 激光与红外，2008，38（4）：400-403.
16	Li Zhihui， Chen Xiuwan， Luo Peng，et al. A hybrid thresholding method for water extraction in envisat image［J］. Remote Sensing Information，2013，28（2）：62-65，69.
16	李智慧，陈秀万，罗鹏，等. 基于混合阈值法的Envisat影像水体提取［J］. 遥感信息，2013，28（2）：62-65，69.
17	Niharika E， Adeeba H， Krishna A S R，et al. K-means based noisy SAR image segmentation using median filtering and otsu method［C］∥2017 International Conference on IoT and Application. IEEE，2017.
18	Guo Zhengwei， Wang Le， Song Guolei. SAR image land and water segmentation algorithm based on hybrid fuzzy［J］. Remote Sensing for Land & Resources，2018，30（4）：62-67.
18	郭拯危，王乐，宋国磊. 基于混合模糊的SAR图像水陆分割算法［J］. 国土资源遥感，2018，30（4）：62-67.
19	Otsu N. A threshold selection method from Gray-Level histogram［J］. IEEE Transactions on Systems，Man，and Cybernetics，1979，9 （1）：62-66.
20	Liu Kang. Advanced methods for building height extraction from high resolution SAR images［D］. Wuhan：Wuhan University，2012.
20	刘康. 基于高分辨率SAR影像提取建筑物高度的研究［D］. 武汉：武汉大学，2012.
21	Luan Yüjie， Guo Jinyun， Gao Yonggang，et al. Remote sensing monitoring of flood and disaster analysis in Shouguang in 2018 from Sentinel-1B SAR data［J］. Journal of Natural Disasters，2021，30（2）：168-175.
21	栾玉洁，郭金运，高永刚，等. 基于Sentinel-1B SAR数据的2018年寿光洪水遥感监测及灾害分析［J］. 自然灾害学报，2021，30（2）：168-175.
22	Wang Jingming， Wang Shixin， Wang Futao，et al. Flood inundation region extraction method based on Sentinel-1 SAR data［J］. Journal of Catastrophology，2021，36（4）： 214-220.
22	王敬明，王世新，王福涛，等. 基于Sentinel-1 SAR数据洪水淹没提取方法研究［J］. 灾害学，2021，36（4）：214-220.
23	Wang Ming， Liu Zhengjia， Chen Yuanyan. Comparsions of image cloud detection effect based on Sentinel-2 bands/products［J］. Remote Sensing Technology and Application，2020，35（5）：1167-1177.
23	王明，刘正佳，陈元琰. 基于Sentinel-2波段/产品的图像云检测效果对比研究［J］. 遥感技术与应用，2020，35（5）：1167-1177.
24	Chen Zhiguo. Flooded area classification by high-resolution SAR images［D］. Wuhan：Wuhan University，2017.
24	陈志国. 高分辨率SAR卫星影像洪水区域提取应用研究［D］. 武汉：武汉大学，2017.

No Suggested Reading articles found!

Viewed

Full text

Abstract

Cited

Shared

Discussed