D2-SECNN相干斑去噪模型
案例介绍
Created by ZHANG Yiming，ZHAO Shengfu，ZHENG Xing and WANG Yibo.
Synthetic Aperture Radar (SAR) is a coherent imaging system and as such it strongly suffers from the presence of speckles. The presence of speckles degraded the image quality and makes SAR images difficult to interpret, such as image segmentation, detection, and recognition. Therefore, removing noise in SAR images is of great significance for improving the performance of various computer vision algorithms such as segmentation, detection, and recognition.
D2-SECNN相干斑去噪模型
案例介绍
D2SE-CNN: An improved SAR Image Despeckling Network
Created by ZHANG Yiming，ZHAO Shengfu，ZHENG Xing and WANG Yibo.
Synthetic Aperture Radar (SAR) is a coherent imaging system and as such it strongly suffers from the presence of speckles. The presence of speckles degraded the image quality and makes SAR images difficult to interpret, such as image segmentation, detection, and recognition. Therefore, removing noise in SAR images is of great significance for improving the performance of various computer vision algorithms such as segmentation, detection, and recognition.
案例图片
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