Review and evaluation of deep learning architectures for efficient land cover mapping with UAS hyper-spatial imagery: A case study over a wetland M Pashaei, H Kamangir, MJ Starek, P Tissot Remote Sensing 12 (6), 959, 2020 | 99 | 2020 |
Deep learning-based single image super-resolution: an investigation for dense scene reconstruction with UAS photogrammetry M Pashaei, MJ Starek, H Kamangir, J Berryhill Remote Sensing 12 (11), 1757, 2020 | 29 | 2020 |
Simulation and characterization of wind impacts on sUAS flight performance for crash scene reconstruction T Chu, MJ Starek, J Berryhill, C Quiroga, M Pashaei Drones 5 (3), 67, 2021 | 24 | 2021 |
Implementation of a low cost structured light scanner M Pashaei, SM Mousavi International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2013 | 10 | 2013 |
Fully convolutional neural network for land cover mapping in a coastal wetland with hyperspatial UAS imagery M Pashaei, MJ Starek IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 9 | 2019 |
Terrestrial lidar data classification based on raw waveform samples versus online waveform attributes M Pashaei, MJ Starek, CL Glennie, J Berryhill IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2021 | 6 | 2021 |
A deep learning approach to urban street functionality prediction based on centrality measures and stacked denoising autoencoder F Noori, H Kamangir, S A. King, A Sheta, M Pashaei, ... ISPRS International Journal of Geo-Information 9 (7), 456, 2020 | 6 | 2020 |
Classification of terrestrial lidar data directly from digitized echo waveforms M Pashaei, MJ Starek, CL Glennie, J Berryhill IEEE Transactions on Geoscience and Remote Sensing 61, 1-12, 2023 | 2 | 2023 |
Simulation and Characterization of Wind Impacts on sUAS Flight Performance for Crash Scene Reconstruction. Drones 2021, 5, 67 T Chu, MJ Starek, J Berryhill, C Quiroga, M Pashaei s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2021 | 1 | 2021 |
Application of Semantic Image Segmentation for Efficient UAS-SfM Photogrammetry Mapping M Pashaei, MJ Starek, J Berryhill IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
UAS Image Segmentation to Enhance SfM-MVS Photogrammetry Workflow for 3D Coastal Environment Mapping MJ Starek, M Pashaei 103rd AMS Annual Meeting, 2023 | | 2023 |
UAS Image Segmentation to Enhance 3D Coastal Mapping Using SfM-MVS Photogrammetry Workflow M Pashaei, MJ Starek, J Berryhill AGU Fall Meeting Abstracts 2022, EP15A-04, 2022 | | 2022 |
Full-Waveform Terrestrial Lidar Data Classification Using Raw Digitized Waveform Signals M Pashaei, MJ Starek, J Berryhill IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | | 2022 |
Direct Classification of Raw Full-Waveform Terrestrial Lidar Data for Land Cover Mapping M Starek, M Pashaei 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
Mi cuenta I Registro | | 2022 |
Land Cover Classification in a Coastal Wetland Environment using Raw Single-echo Waveforms from Full-waveform Terrestrial Laser Scanning System M Pashaei, M Starek AGU Fall Meeting Abstracts 2021, OS51A-05, 2021 | | 2021 |
Full-Waveform Terrestrial Lidar Data Classification Using Raw Samples of Digitized Waveform M Pashaei, MJ Starek, P Tissot, J Berryhill 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 7724 …, 2021 | | 2021 |
Deep Learning–Based Superresolution to Enhance UAS Imagery for Coastal Mapping MJ Starek, M Pashaei, J Berryhill 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |
Raw Digitized Waveform versus Attributes Derived from Online Waveform Analysis for Point Cloud Classification M Pashaei, MJ Starek 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |
Applications of deep learning and multi-perspective 2D/3D imaging streams for remote terrain characterization of coastal environments M Pashaei Texas A&M University-Corpus Christi, 2021 | | 2021 |