“Introduction to Hyperspectral Imaging” Course Outline (Fall 2000: CSI 759/Phys 590)

Course Section Topics Number of Weeks

Part I. Introduction to Remote Sensing 2

-Multi-Spectral Imagery (MSI)

-Hyperspectral Imagery/ Ultraspectral Imagery (HSI/USI)

Scientific Principles

-Physics of Imaging Spectroscopy

-Electromagnetic Propagation

-Sensor Physics

Part II. Atmospheric Radiative Transfer 2

Part III. Hyperspectral Concepts and System Tradeoffs 2

-Signal-to-Noise Ratio (SNR)

-Spectral Resolution, Sampling, Range

-Dispersion Techniques

Data Collection Systems

Current HSI Systems

-Ground

-Airborne

-Spaceborne

Part IV. Calibration Techniques 1

-Calibration Needs

-Calibration Process

-Calibration Systems

Part V. HSI Data Processing Software 4

HSI Data Processing Techniques

-Image Space, Spectral Space, Feature Space

-Spectral Angle Mapping

-N-Dimensional Scatterplots (Visualization)

-Projection Pursuit

-Spectral Mixture Analysis (Demixing)

-Principal Component Analysis (PCA)

-Spectral Matching

-Pixel Purity Index (PPI)

-Minimum Noise Fraction (MNF)

-Mixture Tuned Matched Filtering (MTMF)

Classification Techniques

-Supervised

-Unsupervised

-Hybrid

Part VI. HSI Applications and Case Studies 3

U.S. National Policy Issues