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Found 4 papers, 3 papers with code
CNN-based InSAR Denoising and Coherence Metric
Interferometric Synthetic Aperture Radar (InSAR) imagery for estimating ground movement, based on microwaves reflected off ground targets is gaining increasing importance in remote sensing.
CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter Performance
We propose a novel direction to improve the denoising quality of filtering-based denoising algorithms in real time by predicting the best filter parameter value using a Convolutional Neural Network (CNN).
DeepInSAR: A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation
In this work, we propose a deep convolutional neural network (CNN) based model DeepInSAR to intelligently solve both the phase filtering and coherence estimation problems.
Learning Local Distortion Visibility From Image Quality Data-sets
In this paper, we explore a different perspective, and we investigate whether it is possible to learn local distortion visibility from image quality scores.
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