| Course Name | Hyperspectral Imaging Analysis |
| Course Code | 15ECE328 |
| Program | B. Tech. in Electronics and Communication Engineering |
| Year Taught | 2019 |
Introduction to Remote Sensing: Multi-Spectral Imagery (MSI) – Hyperspectral Imagery (HSI) – Scientific Principles: Physics of imaging spectroscopy – electromagnetic propagation – sensor physics – atmospheric Corrections – Hyperspectral Concepts and System Tradeoffs: Signal-to-Noise ratio (SNR) – spectral resolution– sampling – range.
Dispersion Techniques – data collection systems – current HIS systems: Ground – airborne – spaceborne – calibration techniques – HSI Data Processing Software – HSI Data Processing Techniques: Image Space – spectral space – feature space, spectral angle mapping – N-dimensional scatterplots – projection pursuit – spectral mixture analysis – Principal Component Analysis (PCA).
Spectral mapping – Pixel Purity Index (PPI) – Minimum Noise Fraction (MNF) – Mixture Tuned Matched Filtering (MTMF) – Classification Techniques: Supervised – Unsupervised – Hybrid – Detection, Classif ication, and Quantif ication in Hyperspectral Images Using Classical Least Squares Models.
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