World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
30821
World Ranking
1459
National Ranking
760

Research.com Recognitions

  • 2002 - SPIE Fellow

Overview

Chein-I Chang is a researcher affiliated with the University of Maryland, Baltimore County in the United States. Their primary field of study is Engineering, with significant contributions spanning various subfields such as Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Computational Mechanics, and Artificial Intelligence.

The scientist's research focuses on several main topics, including:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Sparse and Compressive Sensing Techniques
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Infrared Target Detection Methodologies
  • Advanced Chemical Sensor Technologies

Chein-I Chang has a substantial publication record, frequently contributing to key journals in the area of geoscience and remote sensing. The most common venues for their work include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • National Remote Sensing Bulletin

Some recent papers authored or coauthored by Chein-I Chang are:

  • "An Effective Evaluation Tool for Hyperspectral Target Detection: 3D Receiver Operating Characteristic Curve Analysis," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "Hyperspectral Target Detection: Hypothesis Testing, Signal-to-Noise Ratio, and Spectral Angle Theories," 2021, IEEE Transactions on Geoscience and Remote Sensing

Other related publications by frequent collaborators include:

  • "A Simplified 2D-3D CNN Architecture for Hyperspectral Image Classification Based on Spatial-Spectral Fusion," 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Feedback Attention-Based Dense CNN for Hyperspectral Image Classification," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Target-Constrained Interference-Minimized Band Selection for Hyperspectral Target Detection," 2020, IEEE Transactions on Geoscience and Remote Sensing

The scientist collaborates regularly with several coauthors, including Meiping Song, Chunyan Yu, Shuhan Chen, Peter Hu, and Xiaodi Shang, reflecting a network of research partnerships within the field.

Chein-I Chang has been recognized as a SPIE Fellow since 2002, an acknowledgment within the community of experts in optical engineering and related fields.

Best Publications

  • Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach

    J.C. Harsanyi;C.-I. Chang

  • Hyperspectral Imaging: Techniques for Spectral Detection and Classification

    "Chein-I Chang

  • Estimation of number of spectrally distinct signal sources in hyperspectral imagery

    Chein-I Chang;Qian Du

  • Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis

    Jing Wang;Chein-I Chang

  • A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification

    Chein-I Chang;Qian Du;Tzu-Lung Sun;M.L.G. Althouse

  • An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis

    Chein-I Chang

  • Anomaly detection and classification for hyperspectral imagery

    Chein-I Chang;Shao-Shan Chiang

  • Hyperspectral Data Exploitation: Theory and Applications

    Chein-I Chang

  • A New Growing Method for Simplex-Based Endmember Extraction Algorithm

    Chein-I Chang;Chao-Cheng Wu;Wei-min Liu;Yen-Chieh Ouyang

  • Automatic spectral target recognition in hyperspectral imagery

    Hsuan Ren;Chein-I Chang

  • Constrained band selection for hyperspectral imagery

    Chein-I Chang;Su Wang

  • Hyperspectral Data Processing: Algorithm Design and Analysis

    Chein-I Chang

  • Hyperspectral Data Exploitation

    Chein-I Chang

  • Constrained subpixel target detection for remotely sensed imagery

    Chein-I Chang;D.C. Heinz

  • New Hyperspectral Discrimination Measure for Spectral Characterization

    Yingzi Du;Chein I. Chang;Hsuan Ren;Chein Chi Chang

  • An automatic diagnostic system for CT liver image classification

    E-Liang Chen;Pau-Choo Chung;Ching-Liang Chen;Hong-Ming Tsai

  • A fast iterative algorithm for implementation of pixel purity index

    Chein-I Chang;A. Plaza

  • Recent Developments in High Performance Computing for Remote Sensing: A Review

    C. A. Lee;S. D. Gasster;A. Plaza;Chein-I Chang

  • Orthogonal subspace projection (OSP) revisited: a comprehensive study and analysis

    Chein-I Chang

  • Hyperspectral Imaging

    Unknown

  • Multispectral and hyperspectral image analysis with convex cones

    A. Ifarraguerri;C.-I. Chang

Frequent Co-Authors

Pau-Choo Chung
Pau-Choo Chung National Cheng Kung University
Antonio Plaza
Antonio Plaza University of Extremadura
Qian Du
Qian Du Mississippi State University
Jie Lei
Jie Lei Xidian University
Javier Plaza
Javier Plaza University of Extremadura
Jean-Yves Tourneret
Jean-Yves Tourneret National Polytechnic Institute of Toulouse
Nicolas Dobigeon
Nicolas Dobigeon National Polytechnic Institute of Toulouse
Eliot L. Siegel
Eliot L. Siegel University of Maryland, Baltimore
Ram M. Narayanan
Ram M. Narayanan Pennsylvania State University
H. Vincent Poor
H. Vincent Poor Princeton University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens up diverse opportunities, but it's just one of many STEM fields that offer promising online pathways and rewarding careers. If you’re interested in the intersection of technology and sustainability, exploring jobs for environmental science majors can help you understand how science-driven roles impact real-world challenges.

For those seeking flexibility, a computer science degree online can offer accelerated options tailored to busy schedules or working professionals. Similarly, online STEM degrees are expanding beyond computer science: interested in sustainability and technical innovation? Consider an environmental engineering degree online to launch a career in designing eco-friendly solutions.

If your interests lie in design, manufacturing, or robotics, an online degree for mechanical engineering provides foundational knowledge for roles in numerous industries. No matter your focus, these online degrees can help you build versatile skills and connect to emerging career pathways in science and technology.

Best Scientists Citing Chein-I Chang

Trending Scientists