Accession Number:

ADA443196

Title:

Comparison of Hyperspectral Imagery Target Detection Algorithm Chains

Descriptive Note:

Master's thesis

Corporate Author:

ROCHESTER INST OF TECH NY CHESTER F CARLSON CENTER FOR IMAGING SCIENCE

Personal Author(s):

Report Date:

2005-10-14

Pagination or Media Count:

129.0

Abstract:

Detection of a known target in an image has several different approaches. The complexity and number of steps involved in the target detection process makes a comparison of the different possible algorithm chains desirable. Of the different steps involved, some have a more significant impact than others on the final result - the ability to find a target in an image. These more important steps often include atmospheric compensation, noise and dimensionality reduction, background characterization, and detection matched filtering for this research. A brief overview of the algorithms to be compared for each step will be presented.

Subject Categories:

  • Target Direction, Range and Position Finding
  • Atomic and Molecular Physics and Spectroscopy

Distribution Statement:

APPROVED FOR PUBLIC RELEASE