Research on RCS Measurement Methods Based on Global Adaptive Extraction
In response to the issue of measurement accuracy in extracting target scattering images from SAR images using the conventional manual windowing extraction algorithm for target RCS imaging measurement,which is affected by the type and size of the window function,a target RCS imaging measurement algorithm based on global adaptive extrac-tion is proposed.The algorithm initially utilizes imaging algorithms to acquire a high-resolution SAR image of the target.Subsequently,it employs the maximum inter-class variance criterion to select an adaptive threshold,and then utilizes a global adaptive threshold to segment the image,employs an eight-connectivity criterion to extract the target scattering images,and finally obtains the target RCS values through RCS inversion.Compared with the traditional methods,this approach adaptively extracts target scattering images,resulting in increased stability and higher measurement accuracy.
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