融合后的图像不仅较好地保持了可见光图像的线条及边缘特征，还融合了SAR图像的点目标特征。
The fused images show the contribution of the optical image for discriminating lines and edges, while the SAR image provides an information on the detection of point targets.
我们的主要目标是在去除图像噪声的同时尽可能地保持图像的边缘以及图像角点等特征信息。
It is our aim to denoise and preserve the details such as edges and corners in the image as much as possible.
实验结果表明，采用该方法，能够满足距离像背景噪声抑制、目标上距离值正常和边缘保持三方面要求。
The results show that, the proposed method can satisfy the requirements from the aspects of background noise suppression, normal range values on the target and edge-preservation.
结果表明，该算法既保持了传统均值滤波的优点，又改进了对弱边缘目标的保护。
The result shows that the proposed algorithm has some improvement in keeping the advantage of mean filtering algorithm under the condition of preserving unclear edges of the image.
结果表明，该算法既保持了传统均值滤波的优点，又改进了对弱边缘目标的保护。
The result shows that the proposed algorithm has some improvement in keeping the advantage of mean filtering algorithm under the condition of preserving unclear edges of the image.
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