activity
20192023
most citedAn Unsupervised Generative Neural Approach for InSAR Phase Filtering and Coherence Estimation

40 citations · 74 across the 7 of their papers we have counts for

collaborators

7 papers

cs.MM2023★ 3 cited

MetaCast: A Self-Driven Metaverse Announcer Architecture Based on Quality of Experience Evaluation Model

Zhonghao Lin, Haihan Duan, Jiaye Li +2

Metaverse provides users with a novel experience through immersive multimedia technologies. Along with the rapid user growth, numerous events bursting in the metaverse necessitate…

cs.MM2022

Matrix Syncer -- A Multi-chain Data Aggregator For Supporting Blockchain-based Metaverses

Xinyao Sun, Yi Lu, Jinghan Sun +3

Due to the rising complexity of the metaverse's business logic and the low-latency nature of the metaverse, developers typically encounter the challenge of effectively reading, wri…

eess.IV2020★ 7 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.IV2020★ 5 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.IV2020★ 18 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★ 40 cited

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…