Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment Maryam Rahnemoonfar, Tashnim Chowdhury, Robin Murphy, Odair Fernandes Proceedings of IEEE International Conference on Big Data, 2020[pdf]
Semantic Segmentation of Underwater Sonar Imagery with Deep Learning M. Rahnemoonfar, D. Dobbs Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2019[pdf]
Smart Tracking of Internal Layers of Ice in Radar Data via Multi-Scale Learning M. Yari, M. Rahnemoonfar, J. Paden, I. Oluwanisola, L. Koening, L. Montgomery Proceedings of IEEE International Conference on Big Data, 2019[pdf]
Spatio-Temporal Convolutional Neural Network for Elderly Fall Detection in Depth Video Cameras M. Rahnemoonfar, H. Alkittawi Proceedings of IEEE International Conference on Big Data, 2018[pdf]
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden Proceedings of IEEE International Conference on Big Data, 2020[pdf]
Flooded Area Detection from UAV Images based on Densely Connected Recurrent Neural Networks M. Rahnemoonfar, R. Murphy, M.V. Miquel, D. Dobbs, A. Adams Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2018[pdf]
Real-time Scene Understanding for UAV Imagery based on Deep Convolutional Neural Networks M. Rahnemoonfar, C. Sheppard Proceedings of IEEE International Geoscience and Remote Sensing Symposium, 2017[pdf]
AI Radar Sensor: Creating Radar Depth Sounder Images based on Generative Adversarial Network M. Rahnemoonfar, J. Jonson, J. Paden Sensor, 2019[pdf]
Deep Multi-Scale Learning for Automatic Tracking of Internal Layers of Ice in Radar Data Maryam Rahnemoonfar, Masoud Yari, John Paden, Lora Koenig, Ibikunle Oluwanisola Journal of Glaciology, 2020[pdf]
Radar Sensor Simulation with Generative Adversarial Network M. Rahnemoonfar, M. Yari, J. Paden Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020[pdf]
Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers Masoud Yari, Maryam Rahnemoonfar, John Paden, L. Koenig, L. Montgomery, I. Oluwanisola Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020[pdf]
Deep Hybrid Wavelet Networks for Detecting Ice Layers in Radar Images H. Kamangir, M. Rahnemoonfar, D. Dobbs, J. Paden, G. Fox Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2018[pdf]
Real-Time Scene Understanding of Unmanned Aerial Vehicle Imagery with and beyond Visual Sensors with Deep Learning M. Rahnemoonfar, C. Sheppard, D. Bridges AUVSI's XPONENTIAL Proceedings, 2017[pdf]
Snow Radar Layer Tracking Using Iterative Neural Network Approach I. Oluwanisola, J. Paden, M. Rahnemoonfar, D. Crandall, M. Yari Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020[pdf]
DisCount-Net: Discriminating and Counting Network for Real-Time Counting and Localization of Sparse Objects in High Resolution UAV Imagery M. Rahnemoonfar, D. Dobbs, M. Yari, M. Starek Remote Sensing, 2019[pdf]
Real-Time Yield Estimation based on Deep Learning M. Rahnemoonfar, C. Sheppard Proc. SPIE 10218, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II, 2017[pdf]
Image translation between SAR and optical imagery for Arctic wildfire analysis X. Hu, Maryam Rahnemoonfar, T. Jin Proceedings of IEEE International Conference on Big Data, 2020[pdf]
Deep Multi-Scale Learning for Automatic Tracking of Internal Layers of Ice in Radar Data Maryam Rahnemoonfar, Masoud Yari, John Paden, Lora Koenig, Ibikunle Oluwanisola Journal of Glaciology, 2020[pdf]
Radar Sensor Simulation with Generative Adversarial Network M. Rahnemoonfar, M. Yari, J. Paden Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020[pdf]
AI Radar Sensor: Creating Radar Depth Sounder Images based on Generative Adversarial Network M. Rahnemoonfar, J. Jonson, J. Paden Sensor, 2019[pdf]
Deep Hybrid Wavelet Networks for Detecting Ice Layers in Radar Images H. Kamangir, M. Rahnemoonfar, D. Dobbs, J. Paden, G. Fox Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2018[pdf]
Image translation between SAR and optical imagery for Arctic wildfire analysis X. Hu, Maryam Rahnemoonfar, T. Jin Proceedings of IEEE International Conference on Big Data, 2020[pdf]
Smart Tracking of Internal Layers of Ice in Radar Data via Multi-Scale Learning M. Yari, M. Rahnemoonfar, J. Paden, I. Oluwanisola, L. Koening, L. Montgomery Proceedings of IEEE International Conference on Big Data, 2019[pdf]
Automatic Ice Thickness Estimation in Radar Imagery based on Charged Particles Concept M. Rahnemoonfar, A. Abbassi, J. Paden, G. Fox Proceedings of IEEE International Geoscience and Remote Sensing Symposium, 2017[pdf]
Automatic Polar Ice Thickness Estimation from SAR Imagery M. Rahnemoonfar, M. Yari, G. Fox Proc. SPIE 9829, Radar Sensor Technology XX, 2016[pdf]
Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers Masoud Yari, Maryam Rahnemoonfar, John Paden, L. Koenig, L. Montgomery, I. Oluwanisola Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020[pdf]
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden Proceedings of IEEE International Conference on Big Data, 2020[pdf]
Snow Radar Layer Tracking Using Iterative Neural Network Approach I. Oluwanisola, J. Paden, M. Rahnemoonfar, D. Crandall, M. Yari Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020[pdf]
A Semi-Automatic Approach for Estimating Bedrock and Surface Layers from Multichannel Coherent Radar Depth Sounder Imagery J. Mitchell, D. Crandall, G. Fox, M. Rahnemoonfar, J. Paden Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 2013[pdf]
Improved Locally Linear Embedding for Big-Data Classification A. Ramirez, M. Rahnemoonfar Proceedings of 6th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2017[pdf]
Automatic Bedrock and Ice Layer Boundaries Estimation in Radar Imagery based on Level Set Approach M. Rahnemoonfar, M. Yari, G. Fox, J. Paden IEEE Transactions on Geoscience and Remote Sensing, 2017[pdf]
Object Counting
DisCount-Net: Discriminating and Counting Network for Real-Time Counting and Localization of Sparse Objects in High Resolution UAV Imagery M. Rahnemoonfar, D. Dobbs, M. Yari, M. Starek Remote Sensing, 2019[pdf]
Deep Count: Fruit Counting based on Deep Simulated Learning M. Rahnemoonfar, C. Sheppard Sensors, 2017[pdf]
Real-Time Yield Estimation based on Deep Learning M. Rahnemoonfar, C. Sheppard Proc. SPIE 10218, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II, 2017[pdf]
Semantic Segmentation
Radar Sensor Simulation with Generative Adversarial Network M. Rahnemoonfar, M. Yari, J. Paden Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020[pdf]
Automatic Seagrass Dsturbance Pattern Identification on Sonar Images M. Rahnemoonfar, A. Rahman, R. Kline, A. Greene IEEE Journal of Oceanic Engineering, 2018[pdf]
The First Automatic Method for Mapping the Pothole in Seagrass M. Rahnemoonfar, M. Yari, A. Rahman, R. Kline 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017[pdf]
Fluorescence Microscopy Image Segmentation based on Graph and Fuzzy Methods: a Comparison with Ensemble Method M. Beheshti, A. Ashapure, M. Rahnemoonfar, J. Faichney Journal of Intelligent and Fuzzy Systems, 2018[pdf]
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment Maryam Rahnemoonfar, Tashnim Chowdhury, Robin Murphy, Odair Fernandes Proceedings of IEEE International Conference on Big Data, 2020[pdf]
Automatic Seagrass Pattern Identification on Sonar Images M. Rahnemoonfar, F. Rahman Proc. SPIE 9844, Automatic Target Recognition XXVI, 2016[pdf]
Flooded Area Detection from UAV Images based on Densely Connected Recurrent Neural Networks M. Rahnemoonfar, R. Murphy, M.V. Miquel, D. Dobbs, A. Adams Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2018[pdf]
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden Proceedings of IEEE International Conference on Big Data, 2020[pdf]
Automatic Oil Spill Detection o Quad Polarimetric UAVSAR Imagery M. Rahnemoonfar, S. Dhakal Proc. SPIE 9853, Polarization: Measurement, Analysis, and Remote Sensing XII, 2016[pdf]
Semantic Segmentation of Underwater Sonar Imagery with Deep Learning M. Rahnemoonfar, D. Dobbs Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2019[pdf]
A Novel Geometric Pattern Extraction by Means of a Level-Set Method M. Rahnemoonfar, A. Asefpour Bridges 2012, Maryland, USA (July 2012), 2012[pdf]
Deep Multi-Scale Learning for Automatic Tracking of Internal Layers of Ice in Radar Data Maryam Rahnemoonfar, Masoud Yari, John Paden, Lora Koenig, Ibikunle Oluwanisola Journal of Glaciology, 2020[pdf]
Deep Hybrid Wavelet Networks for Detecting Ice Layers in Radar Images H. Kamangir, M. Rahnemoonfar, D. Dobbs, J. Paden, G. Fox Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2018[pdf]
Smart Tracking of Internal Layers of Ice in Radar Data via Multi-Scale Learning M. Yari, M. Rahnemoonfar, J. Paden, I. Oluwanisola, L. Koening, L. Montgomery Proceedings of IEEE International Conference on Big Data, 2019[pdf]
Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers Masoud Yari, Maryam Rahnemoonfar, John Paden, L. Koenig, L. Montgomery, I. Oluwanisola Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020[pdf]
Deep Simulated Learning
AI Radar Sensor: Creating Radar Depth Sounder Images based on Generative Adversarial Network M. Rahnemoonfar, J. Jonson, J. Paden Sensor, 2019[pdf]
Deep Count: Fruit Counting based on Deep Simulated Learning M. Rahnemoonfar, C. Sheppard Sensors, 2017[pdf]
Radar Sensor Simulation with Generative Adversarial Network M. Rahnemoonfar, M. Yari, J. Paden Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020[pdf]
Snow Radar Layer Tracking Using Iterative Neural Network Approach I. Oluwanisola, J. Paden, M. Rahnemoonfar, D. Crandall, M. Yari Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020[pdf]
Wavelet Analysis
Fast Solution of Phase Unwrapping Partial Differential Equation using Wavelet M. Rahnemoonfar Electronic Journal of Differential Equations (EJDE), 2016[pdf]
Two Dimensional Phase Unwrapping of Interferometric SAR Data by Means of Wavelet Technique M. Rahnemoonfar, M. Rahmati, M.R. Saradjian, A. Tavakoli Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS), IEEE Press, 2005[pdf]
DEM Generation with SAR Interferometry based on Weighted Wavelet Phase Unwrapping M. Rahnemoonfar, B. Plale 4th IEEE Conference on Computing for Geospatial Research and Applications, 2013[pdf]
Deep Hybrid Wavelet Networks for Detecting Ice Layers in Radar Images H. Kamangir, M. Rahnemoonfar, D. Dobbs, J. Paden, G. Fox Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2018[pdf]
Wavelet Approach in Efficient Solving of Poisson Equation and its Application in Phase Unwrapping M. Rahnemoonfar 10th MSU Conference on Differential Equations and Computational Simulations, 2014
