Accession Number:

ADA629808

Title:

Derivative Based Bathymetric Algorithms for Hyperspectral Data

Descriptive Note:

Corporate Author:

CORNELL UNIV ITHACA NY

Personal Author(s):

Report Date:

1999-09-30

Pagination or Media Count:

5.0

Abstract:

LONG-TERM GOALS. Our long-term goal is the development of spectral analysis tools that fully exploit the information content in hyperspectral image data, particularly as it applies to passive, remote sensing derived bathymetry. OBJECTIVES. The objective of this work was to develop an effective method for extracting bathymetric information from hyperspectral data.

Subject Categories:

  • Physical and Dynamic Oceanography
  • Atomic and Molecular Physics and Spectroscopy

Distribution Statement:

APPROVED FOR PUBLIC RELEASE