most citedCNN-based InSAR Denoising and Coherence Metric

18 citations · 30 across the 3 of their papers we have counts for

collaborators

5 papers

eess.IV20207 cited

CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter Performance

Subhayan Mukherjee, Navaneeth Kamballur Kottayil, Xinyao Sun +1

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 Convolution…

eess.IV20205 cited

CNN-based InSAR Coherence Classification

Subhayan Mukherjee, Aaron Zimmer, Xinyao Sun +2

Interferometric Synthetic Aperture Radar (InSAR) imagery based on microwaves reflected off ground targets is becoming increasingly important in remote sensing for ground movement e…

eess.IV202018 cited

CNN-based InSAR Denoising and Coherence Metric

Subhayan Mukherjee, Aaron Zimmer, Navaneeth Kamballur Kottayil +3

Interferometric Synthetic Aperture Radar (InSAR) imagery for estimating ground movement, based on microwaves reflected off ground targets is gaining increasing importance in remote…

eess.IV2020

An Unsupervised Generative Neural Approach for InSAR Phase Filtering and Coherence Estimation

Subhayan Mukherjee, Aaron Zimmer, Xinyao Sun +2

Phase filtering and pixel quality (coherence) estimation is critical in producing Digital Elevation Models (DEMs) from Interferometric Synthetic Aperture Radar (InSAR) images, as i…

eess.IV2019

DeepInSAR: A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation

Xinyao Sun, Aaron Zimmer, Subhayan Mukherjee +3

Over the past decade, Interferometric Synthetic Aperture Radar (InSAR) has become a successful remote sensing technique. However, during the acquisition step, microwave reflections…