To solve the problem of poor resolution in passive millimeter wave (PMMW) imaging, we present an improved maximum a posteriori (MAP) super-resolution algorithm.
针对无源毫米波成像中图像分辨率低的问题，提出了一种改进的最大后验(MAP)超分辨算法。
The basic imaging model is discussed, and a novel algorithm based on steering kernel regression method as a regularization term for super resolution reconstruction of sequence image is proposed.
讨论了图像成像的基本模型，并提出了一种基于调整核回归函数作为正则项的序列图像重建算法。
The basic imaging model is discussed, and a novel algorithm based on steering kernel regression method as a regularization term for super resolution reconstruction of sequence image is proposed.
讨论了图像成像的基本模型，并提出了一种基于调整核回归函数作为正则项的序列图像重建算法。
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