World's Best Scientists 2026 revealed!

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Computer Science

D-Index
42
Citations
7200
World Ranking
8417
National Ranking
3603

Research.com Recognitions

  • 2021 - OSA Fellows Chiman Kwan Signal Processing, Inc., USA For significant and sustained contributions to image processing algorithms with applications to remote sensing and especially Mars Curiosity Rover’s imagers

Overview

Chiman Kwan is affiliated with Signal Processing in the United States, focusing primarily on research within the fields of Engineering and Computer Science. Their work spans multiple subfields, including Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Electrical and Electronic Engineering, and Radiation.

The scientist's research topics extensively cover Infrared Target Detection Methodologies, Remote-Sensing Image Classification, Advanced Image Fusion Techniques, Image and Signal Denoising Methods, Advanced Measurement and Detection Methods, Image Enhancement Techniques, and Remote Sensing in Agriculture.

Among recent publications, notable papers include:

  • "Vegetation Detection Using Deep Learning and Conventional Methods," 2020, Remote Sensing
  • "Tree, Shrub, and Grass Classification Using Only RGB Images," 2020, Remote Sensing
  • "Small Infrared Target Detection Based on Fast Adaptive Masking and Scaling With Iterative Segmentation," 2021, IEEE Geoscience and Remote Sensing Letters
  • "Deep Learning for Land Cover Classification Using Only a Few Bands," 2020, Remote Sensing
  • "Flood Detection Using Multi-Modal and Multi-Temporal Images: A Comparative Study," 2020, Remote Sensing

Frequent coauthors collaborating with Chiman Kwan include Bulent Ayhan, Bence Budavari, Jiang Li, David Gribben, and Jude Larkin.

The scientist has published extensively in several venues, most frequently in:

  • Remote Sensing
  • Electronics
  • Signal & Image Processing An International Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • Applied Optics

Chiman Kwan has contributed to academic books as well, with a publication through IntechOpen titled "Recent Advances in Image Restoration with Applications to Real World Problems" published in 2020.

Their work has been recognized by the optical and photonics community, notably with the OSA Fellows award in 2021 for significant and sustained contributions to image processing algorithms, especially those applied to remote sensing and the Mars Curiosity Rover's imagers.

Best Publications

  • Comparison of very short-term load forecasting techniques

    K. Liu;S. Subbarayan;R.R. Shoults;M.T. Manry

  • A Novel Cluster Kernel RX Algorithm for Anomaly and Change Detection Using Hyperspectral Images

    Unknown

  • Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution

    Ying Qu;Hairong Qi;Chiman Kwan

  • Robust backstepping control of induction motors using neural networks

    C.M. Kwan;F.L. Lewis

  • Design and implementation of industrial neural network controller using backstepping

    O. Kuljaca;N. Swamy;F.L. Lewis;C.M. Kwan

  • Robust neural-network control of rigid-link electrically driven robots

    C. Kwan;F.L. Lewis;D.M. Dawson

  • Hyperspectral Anomaly Detection Through Spectral Unmixing and Dictionary-Based Low-Rank Decomposition

    Ying Qu;Wei Wang;Rui Guo;Bulent Ayhan

  • Active health monitoring of an aircraft wing with an embedded piezoelectric sensor/actuator network: II. Wireless approaches

    Xiaoliang Zhao;Tao Qian;Gang Mei;Chiman Kwan

  • Game Theoretic Approach to Threat Prediction and Situation Awareness

    Genshe Chen;D. Shen;Chiman Kwan;J.B. Cruz

  • Unsupervised Pansharpening Based on Self-Attention Mechanism

    Ying Qu;Razieh Kaviani Baghbaderani;Hairong Qi;Chiman Kwan

  • A novel approach for spectral unmixing, classification, and concentration estimation of chemical and biological agents

    C. Kwan;B. Ayhan;G. Chen;Jing Wang

  • Low-rank tensor decomposition based anomaly detection for hyperspectral imagery

    Shuangjiang Li;Wei Wang;Hairong Qi;Bulent Ayhan

  • Blind Quality Assessment of Fused WorldView-3 Images by Using the Combinations of Pansharpening and Hypersharpening Paradigms

    Chiman Kwan;Bence Budavari;Alan C. Bovik;Giovanni Marchisio

  • On variable structure output feedback controllers

    C.M. Kwan

  • Vegetation Detection Using Deep Learning and Conventional Methods

    Bulent Ayhan;Chiman Kwan;Bence Budavari;Liyun Kwan

  • A Novel Utilization of Image Registration Techniques to Process Mastcam Images in Mars Rover With Applications to Image Fusion, Pixel Clustering, and Anomaly Detection

    Bulent Ayhan;Minh Dao;Chiman Kwan;Hua-Mei Chen

  • Hyperspectral image super-resolution: a hybrid color mapping approach

    Jin Zhou;Chiman Kwan;Bence Budavari

  • Tree, Shrub, and Grass Classification Using Only RGB Images

    Bulent Ayhan;Chiman Kwan

  • PHYSICAL UNCLONEABLE FUNCTION HARDWARE KEYS UTILIZING KIRCHHOFF-LAW- JOHNSON-NOISE SECURE KEY EXCHANGE AND NOISE-BASED LOGIC

    Laszlo B. Kish;Chiman Kwan

  • A Super-Resolution and Fusion Approach to Enhancing Hyperspectral Images

    Chiman Kwan;Joon Hee Choi;Stanley H. Chan;Jin Zhou

  • A Hybrid Color Mapping Approach to Fusing MODIS and Landsat Images for Forward Prediction

    Chiman Kwan;Bence Budavari;Feng Gao;Xiaolin Zhu

  • Identify anomaly componentbysparsity and low rank

    Wei Wang;Shuangjiang Li;Hairong Qi;Bulent Ayhan

  • DOES multispectral / hyperspectral pansharpening improve the performance of anomaly detection?

    Ying Qu;Hairong Qi;Bulent Ayhan;Chiman Kwan

Frequent Co-Authors

Trac D. Tran
Trac D. Tran Johns Hopkins University
Laszlo B. Kish
Laszlo B. Kish Texas A&M University
Frank L. Lewis
Frank L. Lewis The University of Texas at Arlington
Hairong Qi
Hairong Qi University of Tennessee at Knoxville
Claes-Göran Granqvist
Claes-Göran Granqvist Uppsala University
Lalit Keshav Mestha
Lalit Keshav Mestha General Electric (United States)
Ralph Etienne-Cummings
Ralph Etienne-Cummings Johns Hopkins University
James F. Bell
James F. Bell Arizona State University
Antonio Plaza
Antonio Plaza University of Extremadura
K. C. Ho
K. C. Ho University of Missouri

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