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Mohammad Pashaei
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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
942020
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
272020
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
222021
Implementation of a low cost structured light scanner
M Pashaei, SM Mousavi
International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2013
102013
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
92019
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
52020
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
42021
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
12023
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
12021
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
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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
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Articles 1–20