Self-Supervised Despeckling Algorithm with an Enhanced U-Net for Synthetic Aperture Radar Images

Self-supervised method has proven to be a suitable approach for despeckling on synthetic aperture radar (SAR) images. However, most self-supervised despeckling methods are trained by noisy-noisy image pairs, which are constructed by using natural images with simulated speckle noise, time-series real...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Remote Sensing
المؤلفون الرئيسيون: Gang Zhang, Zhi Li, Xuewei Li, Sitong Liu
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2021-10-01
الموضوعات:
self-supervised
synthetic aperture radar (SAR)
despeckling
enhanced U-Net
الوصول للمادة أونلاين:https://www.mdpi.com/2072-4292/13/21/4383

الانترنت

https://www.mdpi.com/2072-4292/13/21/4383

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