基于迭代阈值分割的星载SAR洪水区域快速提取

doi:10.12305/j.issn.1001-506X.2022.09.08

Abstract

Abstract:

Flood area extraction method based on spaceborne synthetic aperture radar (SAR) can extract flood area with high precision. However, traditional flood area extraction methods are time consuming, which will seriously affect the time effectiveness of flood area extraction. In this paper, an improved iterative threshold segmentation method for fast extraction of flood area is proposed, using spaceborne SAR images. Firstly, the preprocessed SAR image is resampled by Gaussian fitting to suppress the influence of abnormal points in the histogram of SAR image. Then, the water body is extracted by the iterative threshold segmentation method, and the noise suppression is performed using the morphological filtering. Finally, change detection is carried out to obtain the flood area, based on the extracted water body. Based on the Sentinel-1 SAR images of Poyang Lake before and after the flood in July 2020, a comparative experiment of flood area extraction is carried out in this paper. Experimental results shows that the method can extract the flood area quickly with high accuracy.

Key words: synthetic aperture radar (SAR), iterative threshold segmentation, change detection, flood area extraction

CLC Number:

TP751.1

Tian MIAO, Hongcheng ZENG, He WANG, Jie CHEN. A fast extraction method of flood areas based on iterative threshold segmentation using spaceborne SAR data[J]. Systems Engineering and Electronics, 2022, 44(9): 2760-2768.

Figures/Tables 16

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序号	获取时间	中心坐标	分辨率/m
1	2019/07/20	(116.05°E, 29.01°N)	5×20
2	2020/03/16	(116.05°E, 29.01°N)	5×20
3	2020/07/14	(116.05°E, 29.01°N)	5×20

名称	指标	序号
名称	指标	1	2	3	4	5	6
数据1拟合函数参数	a_k	5.851×10⁴	0	-1 470	3.215×10⁵	7.663×10⁴	1.187×10⁵
	b_k	170.8	174.7	151.2	167.8	164	63.86
	c_k	12.14	0.048 12	5.611	20.52	48.07	24.46
数据2拟合函数参数	a_k	5.465×10⁵	-2.266×10⁵	-5.991×10⁴	1.478×10⁵	8.147×10⁴	-
	b_k	155.3	160.8	110.4	133.1	49.81	-
	c_k	18.1	15.13	28.9	52.75	17.08	-
数据3拟合函数参数	a_k	2.698×10⁵	-1.69×10⁴	3.999×10⁴	-9.646×10⁴	1.527×10⁵	1.525×10⁵
	b_k	168.3	25.84	189.0	115.8	156.8	82.12
	c_k	18.28	12.82	10.84	41.37	43.06	39.89

提取方式	阈值/dB	水体占比/%	准确率/%	虚警率/%	漏警率/%	计算时间/s
迭代阈值分割算法	-16.18	23.31	87.0	6.0	7.0	1.045
Otsu阈值分割算法	-16.32	23.17	87.6	5.7	6.7	10.016
K-Means非监督性学习	-	23.27	84.3	9.0	6.7	78.153
EM算法	-	22.86	88.7	5.0	6.3	88.897

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A fast extraction method of flood areas based on iterative threshold segmentation using spaceborne SAR data

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