【摘要】：針對目標散射特性空變效應(yīng)以及多方位角圖像信息冗余的問題,提出了一種基于小波變換和邊緣檢測的多方位角SAR圖像融合方法。首先,將圖像進行小波變換,完成低頻信息和高頻信息的分離,實現(xiàn)圖像的多分辨表征及序貫圖像多方位角信息的融合;然后,利用改進的Robinson算子增強圖像的輪廓特征;最后,融合實驗和定量評估結(jié)果證明了本文所提融合方法的有效性。
[Abstract]:A multi-azimuth SAR image fusion method based on wavelet transform and edge detection is proposed to solve the problem of spatial variable effect of target scattering and redundancy of multi-azimuth image information. Firstly, the wavelet transform is used to separate the low-frequency information from the high-frequency information, and the multi-resolution representation of the image and the fusion of the multi-azimuth information of the sequential image are realized. Then, the contour feature of the image is enhanced by the improved Robinson operator. Finally, the fusion experiments and quantitative evaluation results show the effectiveness of the proposed fusion method.
【作者單位】： 北京航空航天大學電子信息工程學院;北京電子工程總體研究所;
【基金】：裝備預研基金(A210301HK01043)~~
【分類號】：TN957.52

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