Radix-$N$ Resolution-Fusion for LASAR via Orthogonal Complement Decomposition
Radix-$N$ Resolution-Fusion for LASAR via Orthogonal Complement Decomposition
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DOI：
10.1109/lgrs.2008.2009951
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发表时间：
2009
影响因子：
4.8
通讯作者：
Shi Jun;Xiaoling Zhang;Jianyu Yang;Junjie Wu
中科院分区：
文献类型：
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作者：
Shi Jun;Xiaoling Zhang;Jianyu Yang;Junjie Wu
本文研究了线阵三维成像合成孔径雷达(Lasar)的分辨率融合方法。受线阵长度的限制，激光雷达的跨航迹分辨率往往低于沿航迹方向的分辨率。为了克服这一缺点，我们假设有两个激光雷达系统，它们的轨迹相互垂直。因此，我们获得同一场景的行低分辨率图像和列低分辨率图像。利用正交互补分解技术，将两幅图像融合成一幅准高分辨率图像。此外，我们还发现融合失真是不可避免的，并且在行和列方向上都包含高频分量。信息丢失率为(N-1)2/N2(N表示低分辨率与高分辨率的比率)。对于平滑的图像，能量损失率接近于零。随着噪声能量的增加，能量损失率也相应增大。当噪声完全淹没图像时，能量损失率收敛到信息损失率。
This letter concerns the resolution-fusion method for linear array 3-D imaging SAR (LASAR). Limited by the length of the linear array, the cross-track resolution of LASAR is often lower than that in the along-track direction. To overcome this disadvantage, we assume that there are two LASAR systems whose trajectories are orthogonal to each other. Thus, we obtain a row low-resolution image and a column low-resolution image of the same scene. Using the orthogonal complement decomposition technique, we fuse the two images into one quasi-high-resolution image. Moreover, we find that the fusion distortion is unavoidable and contains the high-frequency component in both row and column directions. The information loss ratio is (N - 1)2/N 2 (N denotes the ratio of low resolution to high resolution). For a smooth image, the energy loss ratio is near to zero. With the increase of the noise energy, the energy loss ratio increases correspondingly. When the noise submerges the image completely, the energy loss ratio converges to the information loss ratio.