World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
20564
World Ranking
3009
National Ranking
141

Research.com Recognitions

  • 2015 - Fellow of Alfred P. Sloan Foundation
  • 2005 - IEEE Fellow For contributions to synthetic aperture radar interferometry and signal processing.

Overview

Richard Bamler is affiliated with the German Aerospace Center in Germany. Their research primarily lies at the intersection of engineering and computer science, focusing on aerospace engineering and artificial intelligence within these disciplines.

The scientist's work explores several specialized subfields, including control and systems engineering, biomedical engineering, and computational mechanics. Their research topics cover a range of advanced technological techniques and applications, particularly in the area of Synthetic Aperture Radar (SAR).

  • Advanced SAR Imaging Techniques
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Fault Detection and Control Systems
  • Microwave Imaging and Scattering Analysis
  • Sparse and Compressive Sensing Techniques

Bamler has co-authored publications with several researchers, including Xiao Xiang Zhu, Yuanyuan Wang, Yilei Shi, Jakob Gawlikowski, and Cedrique Rovile Njieutcheu Tassi. These collaborations reflect a focus on interdisciplinary approaches to complex problems involving machine learning and remote sensing.

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • Artificial Intelligence Review
  • IEEE Geoscience and Remote Sensing Magazine
  • IEEE Transactions on Geoscience and Remote Sensing
  • elib (German Aerospace Center)

Representative recent papers authored by or associated with their research group are:

  • "A survey of uncertainty in deep neural networks," 2023, Artificial Intelligence Review
  • "Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives," 2021, IEEE Geoscience and Remote Sensing Magazine
  • "A Survey of Uncertainty in Deep Neural Networks," 2021, arXiv (Cornell University)
  • "Single-Look Multi-Master SAR Tomography: An Introduction," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "High Quality Large-Scale 3-D Urban Mapping with Multi-Master TomoSAR," 2023, arXiv (Cornell University)

The scientist's contributions have been recognized through several awards, including becoming an IEEE Fellow in 2005 for contributions to synthetic aperture radar interferometry and signal processing, and being named a Fellow of the Alfred P. Sloan Foundation in 2015.

Best Publications

  • Synthetic aperture radar interferometry

    Richard Bamler;Philipp Hartl

  • The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar

    Bernhard Rabus;Michael Eineder;Achim Roth;Richard Bamler

  • Precision SAR processing using chirp scaling

    R.K. Raney;H. Runge;R. Bamler;I.G. Cumming

  • A Survey of Uncertainty in Deep Neural Networks.

    Jakob Gawlikowski;Cedrique Rovile Njieutcheu Tassi;Mohsin Ali;Jongseok Lee

  • A comparison of range-Doppler and wavenumber domain SAR focusing algorithms

    R. Bamler

  • Tomographic SAR Inversion by $L_{1}$ -Norm Regularization—The Compressive Sensing Approach

    Xiao Xiang Zhu;Richard Bamler

  • Very High Resolution Spaceborne SAR Tomography in Urban Environment

    Xiao Xiang Zhu;Richard Bamler

  • Phase statistics of interferograms with applications to synthetic aperture radar

    Dieter Just;Richard Bamler

  • Interferometric Processing of Sentinel-1 TOPS Data

    Nestor Yague-Martinez;Pau Prats-Iraola;Fernando Rodriguez Gonzalez;Ramon Brcic

  • A Sparse Image Fusion Algorithm With Application to Pan-Sharpening

    Xiao Xiang Zhu;Richard Bamler

  • Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR

    Xiao Xiang Zhu;Richard Bamler

  • Accuracy of differential shift estimation by correlation and split-bandwidth interferometry for wideband and delta-k SAR systems

    R. Bamler;M. Eineder

  • Deep Learning Meets SAR: Concepts, Models, Pitfalls, and Perspectives

    Xiaoxiang Zhu;Sina Montazeri;Mohsin Ali;Yuansheng Hua

  • The Potential of Low-Frequency SAR Systems for Mapping Ionospheric TEC Distributions

    F. Meyer;R. Bamler;N. Jakowski;T. Fritz

  • Doppler frequency estimation and the Cramer-Rao bound

    R. Bamler

  • Toward Operational Compensation of Ionospheric Effects in SAR Interferograms: The Split-Spectrum Method

    Giorgio Gomba;Alessandro Parizzi;Francesco De Zan;Michael Eineder

  • Ray-Tracing Simulation Techniques for Understanding High-Resolution SAR Images

    S. Auer;S. Hinz;R. Bamler

  • Demonstration of Super-Resolution for Tomographic SAR Imaging in Urban Environment

    Xiao Xiang Zhu;R. Bamler

  • Spaceborne Spotlight SAR Interferometry With TerraSAR-X

    M. Eineder;N. Adam;R. Bamler;N. Yague-Martinez

  • Efficient Phase Estimation for Interferogram Stacks

    Homa Ansari;Francesco De Zan;Richard Bamler

  • The SRTM Mission - A World-Wide 30 m Resolution DEM from SAR Interferometry in 11 Days

    Richard Bamler

Frequent Co-Authors

Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich
Michael Eineder
Michael Eineder German Aerospace Center
Stefan Hinz
Stefan Hinz Karlsruhe Institute of Technology
Alberto Moreira
Alberto Moreira German Aerospace Center
Irena Hajnsek
Irena Hajnsek German Aerospace Center
Peter Reinartz
Peter Reinartz German Aerospace Center
Gerhard Krieger
Gerhard Krieger German Aerospace Center
Gianfranco Fornaro
Gianfranco Fornaro National Research Council (CNR)
Stefan Dech
Stefan Dech German Aerospace Center
Scott Hensley
Scott Hensley Jet Propulsion Lab

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