受强制性开放获取政策约束的文章 - Maryam Rahnemoonfar了解详情
无法在其他位置公开访问的文章:1 篇
Sam-vqa: Supervised attention-based visual question answering model for post-disaster damage assessment on remote sensing imagery
A Sarkar, T Chowdhury, RR Murphy, A Gangopadhyay, M Rahnemoonfar
IEEE Transactions on Geoscience and Remote Sensing 61, 1-16, 2023
强制性开放获取政策: US Department of Defense
可在其他位置公开访问的文章:23 篇
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
强制性开放获取政策: US National Science Foundation
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
强制性开放获取政策: US National Science Foundation
Comparative study of real-time semantic segmentation networks in aerial images during flooding events
F Safavi, M Rahnemoonfar
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
强制性开放获取政策: US Department of Defense
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
强制性开放获取政策: US National Science Foundation
Deep learning on airborne radar echograms for tracing snow accumulation layers of the Greenland ice sheet
D Varshney, M Rahnemoonfar, M Yari, J Paden, O Ibikunle, J Li
Remote Sensing 13 (14), 2707, 2021
强制性开放获取政策: US National Science Foundation
Ai radar sensor: Creating radar depth sounder images based on generative adversarial network
M Rahnemoonfar, J Johnson, J Paden
Sensors 19 (24), 5479, 2019
强制性开放获取政策: US National Science Foundation
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
强制性开放获取政策: US National Science Foundation
Automatic ice thickness estimation in radar imagery based on charged particles concept
M Rahnemoonfar, AA Habashi, J Paden, GC Fox
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
强制性开放获取政策: US National Science Foundation
GAN-based SAR and optical image translation for wildfire impact assessment using multi-source remote sensing data
X Hu, P Zhang, Y Ban, M Rahnemoonfar
Remote Sensing of Environment 289, 113522, 2023
强制性开放获取政策: Swedish Research Council
Radar sensor simulation with generative adversarial network
M Rahnemoonfar, M Yari, J Paden
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
强制性开放获取政策: US National Science Foundation
Snow radar layer tracking using iterative neural network approach
O Ibikunle, J Paden, M Rahnemoonfar, D Crandall, M Yari
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
强制性开放获取政策: US National Science Foundation
Airborne snow radar data simulation with deep learning and physics-driven methods
M Yari, O Ibikunle, D Varshney, T Chowdhury, A Sarkar, J Paden, J Li, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
强制性开放获取政策: US National Science Foundation
Recurrent graph convolutional networks for spatiotemporal prediction of snow accumulation using airborne radar
B Zalatan, M Rahnemoonfar
2023 IEEE Radar Conference (RadarConf23), 1-6, 2023
强制性开放获取政策: US National Science Foundation, US National Aeronautics and Space Administration
Regression Networks for Calculating Englacial Layer Thickness
D Varshney, M Rahnemoonfar, M Yari, J Paden
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2393 …, 2021
强制性开放获取政策: US National Science Foundation
Refining Ice Layer Tracking through Wavelet combined Neural Networks
D Varshney, M Yari
ICML 2021 Workshop on Tackling Climate Change with Machine Learning, 2021, 2021
强制性开放获取政策: US National Science Foundation
Learning snow layer thickness through physics defined labels
D Varshney, O Ibikunle, J Paden, M Rahnemoonfar
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
强制性开放获取政策: US National Science Foundation
Deep ice layer tracking and thickness estimation using fully convolutional networks
M Rahnemoonfar, D Varshney, M Yari, J Paden
强制性开放获取政策: US National Science Foundation
Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks
B Zalatan, M Rahnemoonfar
2023 IEEE International Conference on Image Processing (ICIP), 2835-2839, 2023
强制性开放获取政策: US National Science Foundation, US National Aeronautics and Space Administration
ECHOVIT: Vision Transformers Using Fast-And-Slow Time Embeddings
O Ibikunle, D Varshney, J Li, M Rahnemoonfar, J Paden
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
强制性开放获取政策: US National Science Foundation
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