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Dimitris G. Manolakis

Dimitris G. Manolakis

D-Index & Metrics

Computer Science

D-Index
36
Citations
25002
World Ranking
10951
National Ranking
4551

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions to signal processing education, algorithms for adaptive filtering, and hyperspectral imaging

Overview

Dimitris G. Manolakis is affiliated with MIT in the United States and has a research focus within the field of engineering, with particular emphasis on aerospace engineering, media technology, atmospheric science, analytical chemistry, and environmental engineering. Their research contributions span a range of topics related to remote sensing, spectroscopy, and measurement techniques.

The main topics covered in their work include:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Spectroscopy and Chemometric Analyses
  • Urban Heat Island Mitigation
  • Calibration and Measurement Techniques
  • Infrared Target Detection Methodologies

Manolakis has authored papers published predominantly in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Notable recent publications include:

  • Efficient Hyperspectral Target Detection and Identification With Large Spectral Libraries, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Wavelength Calibration Correction Technique for Improved Emissivity Retrieval, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Their frequent collaborators include Michael Pieper, Randall L. Bostick, T. Cooley, Cooper Loughlin, and Andrew Weisner.

Among distinctions received, Dimitris G. Manolakis was named an IEEE Fellow in 2016 for contributions to signal processing education, algorithms for adaptive filtering, and hyperspectral imaging.

Best Publications

  • Digital Signal Processing: Principles, Algorithms, and Applications

    John G. Proakis;Dimitris G. Manolakis

  • Statisical and Adaptive Signal Processing

    Vinay Ingle;Stephen Kogon;Dimitris Manolakis

  • Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing

    Dimitris G. Manolakis;Vinay K. Ingle;Stephen M. Kogon

  • Detection algorithms for hyperspectral imaging applications

    D. Manolakis;G. Shaw

  • Hyperspectral Image Processing for Automatic Target Detection Applications

    Dimitris Manolakis;David Marden;Gary A. Shaw

  • Digital signal processing (3rd ed.): principles, algorithms, and applications

    John G. Proakis;Dimitris G. Manolakis

  • Introduction to Digital Signal Processing

    John G. Proakis;Dimitris G. Manolakis

  • Signal processing for hyperspectral image exploitation

    G. Shaw;D. Manolakis

  • Hyperspectral subpixel target detection using the linear mixing model

    D. Manolakis;C. Siracusa;G. Shaw

  • A fast sequential algorithm for least-squares filtering and prediction

    G. Carayannis;D. Manolakis;N. Kalouptsidis

  • Detection Algorithms in Hyperspectral Imaging Systems: An Overview of Practical Algorithms

    Dimitris Manolakis;Eric Truslow;Michael Pieper;Thomas Cooley

  • Applied Digital Signal Processing: Theory and Practice

    Dimitris G. Manolakis;Vinay K. Ingle

  • Is there a best hyperspectral detection algorithm

    D. Manolakis;R. Lockwood;T. Cooley;J. Jacobson

  • A recursive modified Gram-Schmidt algorithm for least- squares estimation

    Fuyun Ling;D. Manolakis;J. Proakis

  • Comparative analysis of hyperspectral adaptive matched filter detectors

    Dimitris G. Manolakis;Gary A. Shaw;Nirmal Keshava

  • Hyperspectral Imaging Remote Sensing: Physics, Sensors, and Algorithms

    Dimitris G. Manolakis;Ronald B. Lockwood;Thomas W. Cooley

  • Algorithm taxonomy for hyperspectral unmixing

    Nirmal Keshava;John P. Kerekes;Dimitris G. Manolakis;Gary A. Shaw

  • Taxonomy of detection algorithms for hyperspectral imaging applications

    Dimitris G. Manolakis

  • Numerically robust least-squares lattice-ladder algorithms with direct updating of the reflection coefficients

    Fuyun Ling;D. Manolakis;J. Proakis

  • Statistics of hyperspectral imaging data

    Dimitris G. Manolakis;David Marden;John P. Kerekes;Gary A. Shaw

  • Detection algorithms for hyperspectral imaging applications: a signal processing perspective

    D. Manolakis

Frequent Co-Authors

John G. Proakis
John G. Proakis Northeastern University
Claude Galand
Claude Galand IBM (United States)

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