High-resolution SAR image classification method based on intensity ratio and spatial structure feature extraction

Abstract

The invention discloses a high-resolution SAR image classification method based on intensity ratio and spatial structure feature extraction, which extends the boundary of the classified SAR image through mirror reflection around the boundary; performs block extraction on the expanded SAR image; calculates the block The spatial structure feature of the original SAR image is extended again to extract the block; the intensity ratio feature coefficient of the calculation block is calculated; the intensity ratio feature and the spatial structure information feature are vector superimposed; some sample points are selected and put into the SVM classifier to train the model; Put the whole image into the model, and get the final predicted label image as the final classification result image. The invention has the advantages of more detailed classification, more obvious boundaries and easier classification of region extraction features, and can be used for SAR image classification and target recognition.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a high-resolution SAR image classification method based on intensity ratio and spatial structure feature extraction. Background technique [0002] In practical applications, it is necessary to use remote sensing satellites to monitor the environment and flood disasters in real time to minimize disaster losses. Synthetic aperture radar (SAR) systems have been widely used in remote sensing applications for many years due to their long-range performance, strong penetration, and all-weather acquisition capabilities. So it is very important to study the classification algorithm of fast, adaptive and high-precision SAR image objects. However, the understanding of SAR data is a long-term and challenging task due to the existence of multiplicative speckle noise. [0003] In the SAR image classification problem, it generally includes two parts: feature extraction an...

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide a high-resolution SAR image classification method based on intensity ratio and spatial structure feature extraction to solve the problem of traditional spatial structure feature analysis applied to SAR image classification prone areas. Poor consistency, messy boundaries, similar and inseparable features before the category

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