Ali Masjedi

Orcid: 0000-0003-3214-4132

According to our database1, Ali Masjedi authored at least 11 papers between 2015 and 2020.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Multi-Temporal Predictive Modelling of Sorghum Biomass Using UAV-Based Hyperspectral and LiDAR Data.
Remote. Sens., 2020

PREDICTION OF SORGHUM BIOMASS USING TIME SERIES UAV-BASED HYPERSPECTRAL AND LIDAR DATA.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
FeatureExplorer: Interactive Feature Selection and Exploration of Regression Models for Hyperspectral Images.
Proceedings of the 30th IEEE Visualization Conference, 2019

Prediction of Sorghum Biomass Using Uav Time Series Data and Recurrent Neural Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Boresight Calibration of GNSS/INS-Assisted Push-Broom Hyperspectral Scanners on UAV Platforms.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Wheel-Based Lidar Data for Plant Height and Canopy Cover Evaluation to Aid Biomass Prediction.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Sorghum Biomass Prediction Using Uav-Based Remote Sensing Data and Crop Model Simulation.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Multi-Sensor Integration Onboard a UAV-Based Mobile Mapping System for Agricultural Management.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Prediction of sorghum biomass based on image based features derived from time series of UAV images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Classification of Polarimetric SAR Images Based on Modeling Contextual Information and Using Texture Features.
IEEE Trans. Geosci. Remote. Sens., 2016

2015
A novel contextual classifier based on SVM and MRF for remote sensing images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015


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