Optimizing Machine Learning Algorithms For Hyperspectral Very Shallow Water (VSW) Products

Abstract

This one-year effort will focus on the transition of FERI's machine learning algorithms for HyperSpectral Imagery (HSI) in the VSW into a distributable code set. This will provide a stable code platform for the application and transition of machine learning-based hyperspectral classification techniques into 6.3/6.4 programs.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA531071

Entities

People

  • William Paul Bissett

Organizations

  • Florida Environmental Research Institute

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Classification
  • Data Science
  • Databases
  • Hyperspectral Imagery
  • Information Science
  • Learning
  • Machine Learning
  • Optical Properties
  • Remote Sensing
  • Shallow Water
  • Signal Processing
  • Spectra
  • Transitions
  • Water

Fields of Study

  • Computer science

Readers

  • Acoustical Oceanography.
  • Image Processing and Computer Vision.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks