Uttam Majumder

National Geospatial-Intelligence Agency — United States

Engineering · Physical Sciences

15h-index813citations72works0.32yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced SAR Imaging Techniques(51), Synthetic Aperture Radar (SAR) Applications and Techniques(35), Radar Systems and Signal Processing(16), Microwave Imaging and Scattering Analysis(7), Target Tracking and Data Fusion in Sensor Networks(5)

Publications72 total

SAR image augmentation for automatic target recognition via spectral estimation
2025
Multichannel joint SAR-interferometry via spectral estimation
2025
Implicit coding of scatterer height and other anisotropic behaviors in colorized SAR imagery
2024· 1 cited
Boot-strapping methods for improved SAR-GMTI
2024· 1 cited
Analysis SAR AI/ML classification under noisy environments
2024
SAR image quantization strategies for improved human/machine interpretability
2024
Analysis of SAR object classification by few-shot learning
2024
Active learning for SAR data labeling and classification
2024
Scene geometry aided SAR ATR
2024
Efficient high resolution 3D SAR imaging via superresolution spectral estimation methods
2024· 1 cited
Performance analysis of SAR AI/ML algorithms using multiple polarization civilian vehicles data
2024
A transfer learning approach to few-shot SAMPLE target classification using self-supervised feature extractors
2023
Modern deep learning for ATR: past, present, and future research
2023
Joint data learning panel summary
2022
Training SAR-ATR Models for Reliable Operation in Open-World Environments
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2021· 42 citedOpen Access
Bridging a Gap in SAR-ATR: Training on Fully Synthetic and Testing on Measured Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2021· 90 citedOpen Access
Toward Near-Real-Time Training With Semi-Random Deep Neural Networks and Tensor-Train Decomposition
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2021Open Access
Review of recent advances in AI/ML using the MSTAR data
2020· 18 cited
A method for detecting the presence of confusion targets in synthetic aperture radar target classification (Conference Presentation)
2020
Sparsity-based data conditioning for more robust deep-learning synthetic aperture radar target classification (Conference Presentation)
2020
page 1 of 4Next →

Frequent Co-authors

Erik Blasch(12), Michael J. Minardi(9), Edmund G. Zelnio(9), LeRoy A. Gorham(8), Michael Minardi(8), Steven Scarborough(6), Eric K. Davis(5), Mark R. Bell(5), Curtis H. Casteel(4), Chris Capraro(4), Linda J. Moore(4), M. Soumekh(4), John C. Kirk(4), Brian D. Rigling(4), Kiranmai D. Naidu(3), Nathan Inkawhich(3), Yiran Chen(3), Matthew G. Judge(3), Todd Rovito(3), Muralidhar Rangaswamy(3)