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首页> 外文会议>International Conference on Information Systems Design and Intelligence Applications >Enhancement of Synthetic-Aperture Radar (SAR) Images Based on Dynamic Unsharp Masking
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Enhancement of Synthetic-Aperture Radar (SAR) Images Based on Dynamic Unsharp Masking

机译：基于动态Unsharp屏蔽的合成孔径雷达（SAR）图像的增强

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Synthetic-aperture radar (SAR) images are speckle corrupted at the initial stage of their acquisition. For this reason, despeckling of the images is required to preserve the finer details without losing them. But, quite often it was seen that even after despeckling, there persists residual noise at higher noise levels and obscured or weak edges. Therefore, to overcome these problems, in this paper, a method of enhancement using dynamic unsharp masking has been proposed for various noise levels. It uses the concept of variable weight factor which is calculated for a single pixel of the image. Dynamic unsharp masking controls the enhancement of the images adaptively such that there is no overshooting in images. The sharpening competency of the proposed method is then scrutinized and compared with conventional unsharp masking using an evaluation parameter called measure of enhancement (EME).
机译：合成孔径雷达（SAR）图像在收购的初始阶段被斑点损坏。 因此，需要考虑图像的射击来保留更精细的细节而不失去它们。 但是，经常看到，即使在飞机之后，即使在飞机之后，仍然存在较高的噪声水平和模糊或弱边缘的残余噪音。 因此，为了克服这些问题，本文已经提出了一种用于各种噪声水平的动态Unsharp屏蔽的增强方法。 它使用可变权重因因子的概念来计算图像的单个像素。 动态unsharp屏蔽控制自适应地控制图像的增强，使得图像中没有过冲。 然后，使用称为增强度量（EME）的评估参数，与传统的Unsharp掩蔽进行仔细检查所提出的方法的锐化能力。

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