| Temperature-vegetation-soil moisture dryness index (TVMDI) M Amani, B Salehi, S Mahdavi, A Masjedi, S Dehnavi Remote sensing of environment 197, 1-14, 2017 | 171 | 2017 |
| Classification of polarimetric SAR images based on modeling contextual information and using texture features A Masjedi, MJV Zoej, Y Maghsoudi IEEE Transactions on Geoscience and Remote Sensing 54 (2), 932-943, 2015 | 115 | 2015 |
| Boresight calibration of GNSS/INS-assisted push-broom hyperspectral scanners on UAV platforms A Habib, T Zhou, A Masjedi, Z Zhang, JE Flatt, M Crawford IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 62 | 2018 |
| Sorghum biomass prediction using UAV-based remote sensing data and crop model simulation A Masjedi, J Zhao, AM Thompson, KW Yang, JE Flatt, MM Crawford, ... IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 56 | 2018 |
| FeatureExplorer: Interactive feature selection and exploration of regression models for hyperspectral images J Zhao, M Karimzadeh, A Masjedi, T Wang, X Zhang, MM Crawford, ... 2019 IEEE Visualization Conference (VIS), 161-165, 2019 | 43 | 2019 |
| Prediction of sorghum biomass based on image based features derived from time series of UAV images Z Zhang, A Masjedi, J Zhao, MM Crawford 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 41 | 2017 |
| Multi-temporal predictive modelling of sorghum biomass using UAV-based hyperspectral and LiDAR data A Masjedi, MM Crawford, NR Carpenter, MR Tuinstra Remote Sensing 12 (21), 3587, 2020 | 38 | 2020 |
| Prediction of sorghum biomass using UAV time series data and recurrent neural networks A Masjedi, NR Carpenter, MM Crawford, MR Tuinstra Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 34 | 2019 |
| Integrating crop growth models with remote sensing for predicting biomass yield of sorghum KW Yang, S Chapman, N Carpenter, G Hammer, G McLean, B Zheng, ... in silico Plants 3 (1), diab001, 2021 | 26 | 2021 |
| UAV-based multi-sensor multi-platform integration for high throughput phenotyping R Ravi, SM Hasheminasab, T Zhou, A Masjedi, K Quijano, JE Flatt, ... Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2019 | 19 | 2019 |
| Multi-sensor integration onboard a UAV-based mobile mapping system for agricultural management M Elbahnasawy, T Shamseldin, R Ravi, T Zhou, YJ Lin, A Masjedi, E Flatt, ... IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 14 | 2018 |
| Prediction of sorghum biomass using time series uav-based hyperspectral and lidar data A Masjedi, MM Crawford IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 12 | 2020 |
| Wheel-based lidar data for plant height and canopy cover evaluation to aid biomass prediction R Ravi, YJ Lin, T Shamseldin, M Elbahnasawy, A Masjedi, M Crawford, ... IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 11 | 2018 |
| Multi-temporal multi-modal predictive modelling of plant phenotypes A Masjedi Purdue University, 2020 | 6 | 2020 |
| A new method for contextual classification of polarimetric SAR data based on combining SVM and MRF A Masjedi, Y Maghsoudi, MJ Valadanzoej Journal of Geomatics Science and Technology 5 (2), 1-16, 2015 | 1 | 2015 |
| A novel contextual classifier based on SVM and MRF for remote sensing images A Masjedi, Y Maghsoudi, MJV Zoej 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 1 | 2015 |
| Classification of Polarimetric SAR Images Based on Combining Support Vector Machine Classifier and Markov Random Fields A Masjedi, Y Maghsoudi, MJ Valadan Zoej Engineering Journal of Geospatial Information Technology 3 (4), 1-18, 2016 | | 2016 |
| Improvement in Detection Performance of Subpixel Targets on Hyperspectral Images Based on Selecting Appropriate Features A Masjedi, S Khazaei Journal of Geomatics Science and Technology 5 (3), 203-216, 2016 | | 2016 |
Ayman HabibThomas A. Page Professor in Civil Engineering, Purdue UniversityDirección de correo verificada de purdue.edu