SAR three-dimensional rotating target refocusing method based on CV-ConvGRU
A three-dimensional rotation, CV-SSRN technology, applied in the field of image processing, can solve the problems of SAR imaging blur, achieve the effect of improving focusing accuracy, avoiding SAR imaging blur, and meeting complex SAR refocusing requirements
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[0093] Specific implementation mode one: refer to figure 1 This embodiment is specifically described. The CV-ConvGRU-based SAR three-dimensional rotating target refocusing method described in this embodiment includes the following steps:
[0094] Step 1: Obtain the original detection image of the target;
[0095] Step 2: Perform range compression and azimuth compression on SAR echoes according to SAR parameters, and then use SAR to detect targets to obtain defocused SAR target slices;
[0096] Step 3: Input the defocused SAR target slice into the CV-SSRN network to obtain the refocused SAR image;
[0097] Step 4: Use the original detection image of the target and the refocused SAR image to obtain the loss function, and update the weight according to the complex domain backpropagation algorithm, and then obtain the trained CV-SSRN network;
[0098] Step 5: Use the trained CV-SSRN network to complete refocusing;
[0099] The CV-SSRN network includes an input layer, an encoder...
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