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.
| Translated title of the contribution | A fast extraction method of flood areas based on iterative threshold segmentation using spaceborne SAR data |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 2760-2768 |
| Number of pages | 9 |
| Journal | Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics |
| Volume | 44 |
| Issue number | 9 |
| DOIs | |
| State | Published - Sep 2022 |
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