Mohammad Pashaei

Orcid: 0000-0002-1427-6265

According to our database1, Mohammad Pashaei authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Examination of UAS-SfM and UAS-Lidar for Survey Repeatability of Roadway Corridors.
Proceedings of the IGARSS 2024, 2024

SfM-MVS Photogrammetry with UAS: Leveraging Image Segmentation for Efficient Mapping in Dynamic Coastal Zones.
Proceedings of the IGARSS 2024, 2024

2023
Classification of Terrestrial Lidar Data Directly From Digitized Echo Waveforms.
IEEE Trans. Geosci. Remote. Sens., 2023

Application of Semantic Image Segmentation for Efficient UAS-SfM Photogrammetry Mapping.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Terrestrial Lidar Data Classification Based on Raw Waveform Samples Versus Online Waveform Attributes.
IEEE Trans. Geosci. Remote. Sens., 2022

Full-Waveform Terrestrial Lidar Data Classification Using Raw Digitized Waveform Signals.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Full-Waveform Terrestrial Lidar Data Classification Using Raw Samples of Digitized Waveform.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Deep Learning-Based Single Image Super-Resolution: An Investigation for Dense Scene Reconstruction with UAS Photogrammetry.
Remote. Sens., 2020

Review and Evaluation of Deep Learning Architectures for Efficient Land Cover Mapping with UAS Hyper-Spatial Imagery: A Case Study Over a Wetland.
Remote. Sens., 2020

A Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder.
ISPRS Int. J. Geo Inf., 2020

2019
Fully Convolutional Neural Network for Land Cover Mapping In A Coastal Wetland with Hyperspatial UAS Imagery.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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