Flood detection method based on SAR (Synthetic Aperture Radar) image
A detection method and image technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as accurate extraction of false alarms, limited acquisition of full-polarization SAR data, and inability to meet the requirements of rapid emergency response to disasters, etc., to achieve The effect of ensuring processing efficiency and speeding up detection speed
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[0025] The solution of the present invention will be further described below in conjunction with the accompanying drawings.
[0026] see figure 1 and 2 , taking Shijiu Lake and Nanyi Lake as examples for flood detection.
[0027] (1) SAR image noise reduction and enhancement
[0028] Select Sentinel-1 satellite SAR images of two lakes in two time phases (June and July 2020), use image gray histogram equalization to improve the brightness and contrast of SAR images; then use NSCT-based adaptive The noise algorithm eliminates the speckle noise of the SAR image, which can preserve the edge information of the image to the greatest extent.
[0029] (2) FCM-based water extraction
[0030] The edge-preserving gray-scale feature extraction method is used to extract the gray-scale features of SAR images, and the gray-level co-occurrence matrix (GLCM) is used to extract the texture features of SAR images. Segmentation to obtain preliminary water body extraction results.
[0031] (...
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