Accession Number:

ADA550919

Title:

Neural Network Hyperspectral Algorithms

Descriptive Note:

Annual rept.

Corporate Author:

NAVAL RESEARCH LAB STENNIS DETACHMENT STENNIS SPACE CENTER MS REMOTE SENSING APPLICATIONS BRANCH

Report Date:

1998-01-01

Pagination or Media Count:

6.0

Abstract:

The long-term goal is to develop the scientific and computational basis for neural network-based algorithms for retrieval of inherent optical properties IOP, water depth, and bottom type from hyperspectral imagery of coastal waters. These algorithms will capitalize on the power of neural networks and their associated learning algorithms to define complex nonlinear relationships between spectral radiance and waterbottom properties.

Subject Categories:

  • Numerical Mathematics
  • Atomic and Molecular Physics and Spectroscopy

Distribution Statement:

APPROVED FOR PUBLIC RELEASE