Data Dimensionality Reduction based Geological Interpretation of AVIRIS-NG Hyperspectral Data

Prateek Tripathi; Rahul Dev Garg

doi:10.1364/HISE.2021.HTh2B.4

OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)
OSA Technical Digest (Optica Publishing Group, 2021),
paper HTh2B.4
•https://doi.org/10.1364/HISE.2021.HTh2B.4

Data Dimensionality Reduction based Geological Interpretation of AVIRIS-NG Hyperspectral Data

Prateek Tripathi and Rahul Dev Garg

Hyperspectral Imaging and Sounding of the Environment 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-90-3

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Image Processing I (HTh2B)

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P. Tripathi and R. D. Garg, "Data Dimensionality Reduction based Geological Interpretation of AVIRIS-NG Hyperspectral Data," in OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES), S. Buckley, F. Vanier, S. Shi, K. Walker, I. Coddington, S. Paine, K. Lok Chan, W. Moses, S. Qian, P. Pellegrino, F. Vollmer, G. , J. Jágerská, R. Menzies, L. Emmenegger, and J. Westberg, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper HTh2B.4.

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Abstract

This work reviews the three basic linear data dimensionality reduction techniques for an airborne hyperspectral image and their applications in feature identification

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