Automated Author ProfileGaburro, Romina
0000-0002-6186-0712
Gaburro, Romina
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.1 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Code written by: Shraddha Naidu (DatasetGenerator/Backprojection/Bump Functions) and David J. McMahon (Forward Map/Bump Functions)This release contains the complete codebase for the simulation and generation of Synthetic Aperture Radar (SAR) data. The SAR data is generated from a virtual antenna flying at a height of 5 meters along a circular flight path, with additional simulated passes at two other altitudes.🔍 FeaturesSAR signal modeling and simulationSynthetic data acquisition along a circular flight trajectoryPhase-only SAR image reconstruction (backprojection)Support for generating terrain images from three antenna heights🛠 UsageTo generate a dataset, call the following function:SAR_Dataset_Generation(number_of_samples) This function:Simulates SAR phase-only dataReconstructs images via backprojectionSaves the generated data and images for analysis🧾 NotesOnly phase data is used—amplitude is not included.The output images are phase-only reconstructions.Ideal for SAR imaging research and algorithm development.
Authors
- Naidu, Shraddha ;
- Gaburro, Romina ;
- Nolan, Clifford ;
- Healy, Patrick ;
- J.Mcmahon, David
Code written by: Shraddha Naidu (DatasetGenerator/Backprojection/Bump Functions) and David J. McMahon (Forward Map/Bump Functions)This release contains the complete codebase for the simulation and generation of Synthetic Aperture Radar (SAR) data. The SAR data is generated from a virtual antenna flying at a height of 5 meters along a circular flight path, with additional simulated passes at two other altitudes.🔍 FeaturesSAR signal modeling and simulationSynthetic data acquisition along a circular flight trajectoryPhase-only SAR image reconstruction (backprojection)Support for generating terrain images from three antenna heights🛠 UsageTo generate a dataset, call the following function:SAR_Dataset_Generation(number_of_samples) This function:Simulates SAR phase-only dataReconstructs images via backprojectionSaves the generated data and images for analysis🧾 NotesOnly phase data is used—amplitude is not included.The output images are phase-only reconstructions.Ideal for SAR imaging research and algorithm development.
Authors
- Naidu, Shraddha ;
- Gaburro, Romina ;
- Nolan, Clifford ;
- Healy, Patrick ;
- J.Mcmahon, David
Code written by: Shraddha Naidu (DatasetGenerator/Backprojection/Bump Functions) and David J. McMahon (Forward Map/Bump Functions)This release contains the complete codebase for the simulation and generation of Synthetic Aperture Radar (SAR) data. The SAR data is generated from a virtual antenna flying at a height of 5 meters along a circular flight path, with additional simulated passes at two other altitudes.🔍 FeaturesSAR signal modeling and simulationSynthetic data acquisition along a circular flight trajectoryPhase-only SAR image reconstruction (backprojection)Support for generating terrain images from three antenna heights🛠 UsageTo generate a dataset, call the following function:SAR_Dataset_Generation(number_of_samples) This function:Simulates SAR phase-only dataReconstructs images via backprojectionSaves the generated data and images for analysis🧾 NotesOnly phase data is used—amplitude is not included.The output images are phase-only reconstructions.Ideal for SAR imaging research and algorithm development.
Authors
- Naidu, Shraddha ;
- Gaburro, Romina ;
- Nolan, Clifford ;
- Healy, Patrick ;
- J.Mcmahon, David