OIST - Optical Imaging and Sensing Technology
  • M. Eismann (US) AFRL

TuB1.3 - HYPERSPECTRAL DATA EXPLOITATION: PROGRESS FROM STATISTICAL METHODS TOWARD MACHINE LEARNING

Presentation Type
Invited Submission
Authors
  • M. Eismann (US) AFRL
  • J. Martin (US) AFRL
  • J. Meola (US) AFRL
  • K. Gross (US) AFIT
  • N. Westing (US) AFIT
Date
08/20/2019
Time
08:00 AM - 10:00 AM
Room
Sandpiper C/D
Duration
30 Minutes
Lecture Time
09:00 AM - 09:30 AM

Abstract

Abstract

Efforts to apply machine learning to HSI have produced mixed results as numerous challenges exist in applying these methods. This work describes these challenges along with on-going and future work aimed at reaping the potential benefits offered by machine learning in improving HSI data analysis.

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