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ORCIDMaryam Rahnemoonfar
- > Home > Persons > Maryam Rahnemoonfar
Publications
- 2023
[i9]Debvrat Varshney, Masoud Yari, Oluwanisola Ibikunle, Jilu Li, John Paden, Maryam Rahnemoonfar:
Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Firn Layers in Radar Echograms. CoRR abs/2310.19574 (2023)- 2021
- [j8]Maryam Rahnemoonfar
, Tashnim Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, Robin Roberson Murphy:
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding. IEEE Access 9: 89644-89654 (2021) - [j7]Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden, Oluwanisola Ibikunle, Jilu Li:
Deep Learning on Airborne Radar Echograms for Tracing Snow Accumulation Layers of the Greenland Ice Sheet. Remote. Sens. 13(14): 2707 (2021) - [j6]Masoud Yari, Oluwanisola Ibikunle, Debvrat Varshney, Tashnim Chowdhury, Argho Sarkar, John Paden, Jilu Li, Maryam Rahnemoonfar:
Airborne Snow Radar Data Simulation With Deep Learning and Physics-Driven Methods. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 12035-12047 (2021) - [c21]Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden:
Regression Networks for Calculating Englacial Layer Thickness. IGARSS 2021: 2393-2396 - [i6]Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden:
Regression Networks For Calculating Englacial Layer Thickness. CoRR abs/2104.04654 (2021) - 2020
- [c18]Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden:
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks. IEEE BigData 2020: 3943-3952 - [c17]Oluwanisola Ibikunle, John Paden, Maryam Rahnemoonfar, David J. Crandall, Masoud Yari:
Snow Radar Layer Tracking Using Iterative Neural Network Approach. IGARSS 2020: 2960-2963 - [c16]Masoud Yari, Maryam Rahnemoonfar, John Paden:
Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers. IGARSS 2020: 6934-6937 - [c15]Maryam Rahnemoonfar, Masoud Yari, John Paden:
Radar Sensor Simulation with Generative Adversarial Network. IGARSS 2020: 7001-7004 - [i3]Maryam Rahnemoonfar, Debvrat Varshney, Masoud Yari, John Paden:
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks. CoRR abs/2009.00191 (2020) - [i1]Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, Robin R. Murphy:
FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding. CoRR abs/2012.02951 (2020) - 2019
- [j5]Maryam Rahnemoonfar, Dugan Dobbs, Masoud Yari, Michael J. Starek:
DisCountNet: Discriminating and Counting Network for Real-Time Counting and Localization of Sparse Objects in High-Resolution UAV Imagery. Remote. Sens. 11(9): 1128 (2019) - [c14]Masoud Yari, Maryam Rahnemoonfar, John Paden, Ibikunle Oluwanisola, Lora Koenig, Lynn Montgomery:
Smart Tracking of Internal Layers of Ice in Radar Data via Multi-Scale Learning. IEEE BigData 2019: 5462-5468 - 2017
- [j1]Maryam Rahnemoonfar, Geoffrey Charles Fox, Masoud Yari, John Paden:
Automatic Ice Surface and Bottom Boundaries Estimation in Radar Imagery Based on Level-Set Approach. IEEE Trans. Geosci. Remote. Sens. 55(9): 5115-5122 (2017) - [c9]Maryam Rahnemoonfar, Masoud Yari, Abdullah Rahman, Richard Kline:
The First Automatic Method for Mapping the Pothole in Seagrass. CVPR Workshops 2017: 267-274
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