This article, based on the Wavelet analysis methods, mainly concentrates on SAR image denoising and resolution fusion for Linear Array 3D SAR (LASAR).
本文以小波理论为工具,主要研究了SAR图像相干斑噪声的抑制和针对线阵三维SAR的分辨率融合,主要内容为:1。
In the process of feature images extraction based on wavelet multiresolution fusion, a new method, which uses a feature vector consisting of multiple spacious salient features to determine fusion weights, wass presented.
在基于小波多分辨率融合方法进行特征图像的提取过程中 ,提出了利用多个空间特征所构成的特征矢量确定多分辨率融合权值的算法 ,有效地降低了原始图像的数据维并获得了用于后续分类的特征图像 。
