Publications

2020

• Maryam Rahnemoonfar, Tashnim Chowdhury, Robin Murphy, Odair Fernandes,   “Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment”,   Proceedings of IEEE International Conference on Big Data, 2020   [pdf]
• Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden,   “Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks”,   Proceedings of IEEE International Conference on Big Data, 2020   [pdf]
• Maryam Rahnemoonfar, Masoud Yari, John Paden, Lora Koenig, Ibikunle Oluwanisola,   “Deep Multi-Scale Learning for Automatic Tracking of Internal Layers of Ice in Radar Data”,   Journal of Glaciology, pp. 1-10, 2020 [Impact Factor: 3.26]   [pdf]
• Maryam Rahnemoonfar, Tashnim Chowdhury, Argo Sarkar, Debvrat Varshney, Masoud Yari, Robin Murphy,   “FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding”,   arXiv, 2020  [pdf]
• X. Hu, Maryam Rahnemoonfar, T. Jin,   “Image translation between SAR and optical imagery for Arctic wildfire analysis”,   Proceedings of IEEE International Conference on Big Data, 2020   [pdf]
• Masoud Yari, Maryam Rahnemoonfar, John Paden, L. Koenig, L. Montgomery, I. Oluwanisola,   “Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers”,   Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020   [pdf]
• M. Rahnemoonfar, M. Yari, J. Paden,   “Radar Sensor Simulation with Generative Adversarial Network”,   Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020   [pdf]
• I. Oluwanisola, J. Paden, M. Rahnemoonfar, D. Crandall, M. Yari,   “Snow Radar Layer Tracking Using Iterative Neural Network Approach”,   Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020   [pdf]

2019

• M. Rahnemoonfar, J. Jonson, J. Paden,   “AI Radar Sensor: Creating Radar Depth Sounder Images based on Generative Adversarial Network”,   Sensor, 19(24), 2019 [Impact Factor: 3.03]   [pdf]
• M. Rahnemoonfar, D. Dobbs, M. Yari, M. Starek,   “DisCount-Net: Discriminating and Counting Network for Real-Time Counting and Localization of Sparse Objects in High Resolution UAV Imagery”,   Remote Sensing, 11(9), 2019 [Impact Factor: 4.12]   [pdf]
• M. Rahnemoonfar, D. Dobbs,   “Semantic Segmentation of Underwater Sonar Imagery with Deep Learning”,   Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2019   [pdf]
• M. Yari, M. Rahnemoonfar, J. Paden, I. Oluwanisola, L. Koening, L. Montgomery,   “Smart Tracking of Internal Layers of Ice in Radar Data via Multi-Scale Learning”,   Proceedings of IEEE International Conference on Big Data, 2019   [pdf]

2018

• M. Rahnemoonfar, A. Rahman, R. Kline, A. Greene,   “Automatic Seagrass Dsturbance Pattern Identification on Sonar Images”,   IEEE Journal of Oceanic Engineering(99), pp. 1-10, 2018 [Impact Factor: 2.065]   [pdf]
• H. Kamangir, M. Rahnemoonfar, D. Dobbs, J. Paden, G. Fox,   “Deep Hybrid Wavelet Networks for Detecting Ice Layers in Radar Images”,   Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2018 [h-index: 53]   [pdf]
• M. Rahnemoonfar, R. Murphy, M.V. Miquel, D. Dobbs, A. Adams,   “Flooded Area Detection from UAV Images based on Densely Connected Recurrent Neural Networks”,   Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2018 [h-index: 53]   [pdf]
•  M. Beheshti, A. Ashapure, M. Rahnemoonfar, J. Faichney,   “Fluorescence Microscopy Image Segmentation based on Graph and Fuzzy Methods: a Comparison with Ensemble Method”,   Journal of Intelligent and Fuzzy Systems, 34, pp. 2563-2578, 2018 [Impact Factor: 1.426]   [pdf]
• M. Rahnemoonfar, H. Alkittawi,   “Spatio-Temporal Convolutional Neural Network for Elderly Fall Detection in Depth Video Cameras”,   Proceedings of IEEE International Conference on Big Data, 2018   [pdf]
• B. Koskowich, M. Rahnemoonfar, M. Starek,   “VIRTUALOT – Combining UAS Products and Computer Vision Techniques to Extend GIS Capabilities”,   Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2018 [h-index: 53]   [pdf]

2017

•  M. Rahnemoonfar, M. Yari, G. Fox, J. Paden,   “Automatic Bedrock and Ice Layer Boundaries Estimation in Radar Imagery based on Level Set Approach”,   IEEE Transactions on Geoscience and Remote Sensing, 55(9), pp. 5115-5122, 2017 [Impact Factor: 4.662]   [pdf]
• M. Rahnemoonfar, A. Abbassi, J. Paden, G. Fox,   “Automatic Ice Thickness Estimation in Radar Imagery based on Charged Particles Concept”,   Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 3743-3746, 2017 [h-index: 53]   [pdf]
• M. Rahnemoonfar, C. Sheppard,   “Deep Count: Fruit Counting based on Deep Simulated Learning”,   Sensors, 17(905), pp. 1-12, 2017 [Impact Factor: 3.03]   [pdf]
• A. Ramirez, M. Rahnemoonfar,   “Improved Locally Linear Embedding for Big-Data Classification”,   Proceedings of 6th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, pp. 37-41, 2017 [h-index: 72]   [pdf]
•  M. Rahnemoonfar, C. Sheppard, D. Bridges,   “Real-Time Scene Understanding of Unmanned Aerial Vehicle Imagery with and beyond Visual Sensors with Deep Learning”,   AUVSI’s XPONENTIAL Proceedings, pp. 1-13, 2017   [pdf]
•  M. Rahnemoonfar, C. Sheppard,   “Real-Time Yield Estimation based on Deep Learning”,   Proc. SPIE 10218, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II, pp. 59-65, 2017 [h-index: 139]   [pdf]
• M. Rahnemoonfar, C. Sheppard,   “Real-time Scene Understanding for UAV Imagery based on Deep Convolutional Neural Networks”,   Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 2243-2246, 2017 [h-index: 53]   [pdf]
• M. Rahnemoonfar, M. Yari, A. Rahman, R. Kline,   “The First Automatic Method for Mapping the Pothole in Seagrass”,   2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 267-274, 2017 [h-index: 45, Acceptance Rate: 20%]   [pdf]

2016

• M. Rahnemoonfar, S. Dhakal, “Automatic Oil Spill Detection o Quad Polarimetric UAVSAR Imagery”,   Proc. SPIE 9853, Polarization: Measurement, Analysis, and Remote Sensing XII, 2016 [h-index: 139]   [pdf]
• M. Rahnemoonfar, M. Yari, G. Fox,   “Automatic Polar Ice Thickness Estimation from SAR Imagery”,   Proc. SPIE 9829, Radar Sensor Technology XX, 2016 [h-index: 139]   [pdf]
• M. Rahnemoonfar, F. Rahman,   “Automatic Seagrass Pattern Identification on Sonar Images”,   Proc. SPIE 9844, Automatic Target Recognition XXVI, 2016 [h-index: 139]   [pdf]
•  M. Rahnemoonfar,   “Fast Solution of Phase Unwrapping Partial Differential Equation using Wavelet”,   Electronic Journal of Differential Equations (EJDE), pp. 119-129, 2016 [Impact Factor: 0.954]   [pdf]

2015

•  S. Dhakal, M. Rahnemoonfar,   “Mobile-Based Text Recognition from Water Quality Devices”,   Proc. SPIE 9411, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications, 2015 [h-index: 139]   [pdf]

2014

• I. Khosravi, M. Momeni, M. Rahnemoonfar,   “Performance Evaluation of Object-Based and Pixel-Based Building Extraction Algorithms from Very High-Resolution Satellite Imagery”,   Journal of Photogrammetric Engineering and Remote Sensing, 80(6), pp. 519-528, 2014 [Impact Factor: 3.15]   [pdf]
• M. Rahnemoonfar,   “Wavelet Approach in Efficient Solving of Poisson Equation and its Application in Phase Unwrapping”,   10th MSU Conference on Differential Equations and Computational Simulations, pp. 1-7, 2014

2013

• J. Mitchell, D. Crandall, G. Fox, M. Rahnemoonfar, J. Paden,   “A Semi-Automatic Approach for Estimating Bedrock and Surface Layers from Multichannel Coherent Radar Depth Sounder Imagery”,   Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 2013   [pdf]
•  M. Rahnemoonfar, B. Plale,   “Automatic Performance Evaluation of Dewarping Methods in Large Scale Digitization of Historical Documents”,   Joint IEEE/ACM Conference on Digital Libraries, pp. 331-334, 2013 [Acceptance Rate: 31%]   [pdf]
• M. Rahnemoonfar, B. Plale,   “DEM Generation with SAR Interferometry based on Weighted Wavelet Phase Unwrapping”,   4th IEEE Conference on Computing for Geospatial Research and Applications, pp. 1-4, 2013   [pdf]
•  A. Shahbazi, H. Matinkhah, M. Rahnemoonfar,   “Surveying Phenological Characteristic of Quercus Infectoria outside of Zagross Region for Introducing and Creating Diversity in Urban Green Space”,   Journal of Natural Environment, 66(3), pp. 311-318, 2013

1999 – 2012

• M. Rahnemoonfar, A. Asefpour,   “A Novel Geometric Pattern Extraction by Means of a Level-Set Method”,   Bridges 2012, Maryland, USA (July 2012), 2012   [pdf]
• M. Rahnemoonfar, A. Antonacopoulos,   “Restoration of Arbitrarily Warped Historical Document Images using Flow Lines”,   Proceedings of the 11th International Conference on Document Analysis and Recognition (ICDAR2011), Beijing, China (September 2011), pp. 905-909, 2011 [Acceptance Rate: 12.7]   [pdf]
•  M. Rahnemoonfar, R. Heidari, M.R. Gheitanchi,   “Determining Displacement and Magnitude of the Bam Earthquake by Envisat Data with InSAR”,   Journal of the Earth and Space Physics, 32(2), pp. 117-124, 2006
• M. Rahnemoonfar,   “Earthquake Analysis in Bam (Iran) and Izmit (Turkey) by SAR Interferometry”,   Conference on Geomatics, Proceedings of National Cartographic Centre (NCC), Iran (May 2005), 2005
• M. Rahnemoonfar, M. Rahmati, M.R. Saradjian, A. Tavakoli,   “Two Dimensional Phase Unwrapping of Interferometric SAR Data by Means of Wavelet Technique”,   Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS), IEEE Press, 2005   [pdf]
• M. Rahnemoonfar, M. Delavar, L. Hashemi,   “Fractal and Surface Modeling”,   Proceedings of International Society for Photogrammetry and Remote Sensing, Turkey (July 2004), 2004   [pdf]
• M. Rahnemoonfar, M.M. Hejazi, A. Azizi,   “Close Range Photogrammetry of Persian Architecture Patterns”,   Proceedings of the 6th International Conference of Civil Engineering, Isfahan University of Technology, Isfahan, Iran (May 2003), 2003
• M.M. Hejazi, M. Rahnemoonfar,   “Synthetic Aperture Radar Interferometry Technique for the Evaluation of Earthquake Damages to Historical Structures”,   International Course on Architectural and Structural Design of Masonry, Dresden, Germany (December 2003), 2003