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Maryam Rahnemoonfar
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Deep count: fruit counting based on deep simulated learning
M Rahnemoonfar, C Sheppard
Sensors 17 (4), 905, 2017
5292017
Floodnet: A high resolution aerial imagery dataset for post flood scene understanding
M Rahnemoonfar, T Chowdhury, A Sarkar, D Varshney, M Yari, ...
IEEE Access 9, 89644-89654, 2021
1632021
Flooded area detection from UAV images based on densely connected recurrent neural networks
M Rahnemoonfar, R Murphy, MV Miquel, D Dobbs, A Adams
IEEE IGARSS 2018, 2018
702018
Real-time yield estimation based on deep learning
M Rahnemoonfar, C Sheppard
Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2017
402017
DisCountNet: Discriminating and counting network for real-time counting and localization of sparse objects in high-resolution UAV imagery
M Rahnemoonfar, D Dobbs, M Yari, MJ Starek
Remote Sensing 11 (9), 1128, 2019
362019
Comprehensive semantic segmentation on high resolution uav imagery for natural disaster damage assessment
T Chowdhury, M Rahnemoonfar, R Murphy, O Fernandes
2020 IEEE International Conference on Big Data (Big Data), 3904-3913, 2020
342020
Automatic ice surface and bottom boundaries estimation in radar imagery based on level-set approach
M Rahnemoonfar, GC Fox, M Yari, J Paden
IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5115-5122, 2017
342017
Real-time scene understanding for UAV imagery based on deep convolutional neural networks
C Sheppard, M Rahnemoonfar
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
332017
Performance evaluation of object-based and pixel-based building detection algorithms from very high spatial resolution imagery
I Khosravi, M Momeni, M Rahnemoonfar
Photogrammetric Engineering & Remote Sensing 80 (6), 519-528, 2014
292014
Deep multi-scale learning for automatic tracking of internal layers of ice in radar data
M Rahnemoonfar, M Yari, J Paden, L Koenig, O Ibikunle
Journal of Glaciology 67 (261), 39-48, 2021
262021
SEMANTIC SEGMENTATION OF UNDERWATER SONAR IMAGERY WITH DEEP LEARNING
M Rahnemoonfar, D Dobbs
IGARSS 2019, 2019
262019
Automatic seagrass disturbance pattern identification on sonar images
M Rahnemoonfar, AF Rahman, RJ Kline, A Greene
IEEE Journal of Oceanic Engineering 44 (1), 132-141, 2018
242018
RescueNet: A high resolution UAV semantic segmentation benchmark dataset for natural disaster damage assessment
T Chowdhury, R Murphy, M Rahnemoonfar
arXiv preprint arXiv:2202.12361, 2022
232022
Deep hybrid wavelet network for ice boundary detection in RADAR imagery
H Kamangir, M Rahnemoonfar, D Dobbs, J Paden, G Fox
IEEE IGARSS, 2018
222018
Ai radar sensor: Creating radar depth sounder images based on generative adversarial network
M Rahnemoonfar, J Johnson, J Paden
Sensors 19 (24), 5479, 2019
192019
Smart tracking of internal layers of ice in radar data via multi-scale learning
M Yari, M Rahnemoonfar, J Paden, I Oluwanisola, L Koenig, ...
2019 IEEE International Conference on Big Data (Big Data), 5462-5468, 2019
182019
VIRTUALOT - A framework enabling real-time coordinate transformation & occlusion sensitive tracking using UAS products, deep learning object detection & traditional object …
BJ Koskowich, M Rahnemoonfar, M Starek
IEEE IGARSS 2018, 2018
182018
Vqa-aid: Visual question answering for post-disaster damage assessment and analysis
A Sarkar, M Rahnemoonfar
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 8660 …, 2021
172021
Attention based semantic segmentation on uav dataset for natural disaster damage assessment
T Chowdhury, M Rahnemoonfar
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2325 …, 2021
172021
Deep ice layer tracking and thickness estimation using fully convolutional networks
D Varshney, M Rahnemoonfar, M Yari, J Paden
2020 IEEE International conference on big data (big data), 3943-3952, 2020
172020
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