Accession Number:

ADA522526

Title:

Detection and Characterization of Chemical Vapor Fugitive Emissions from Hyperspectral Infrared Imagery by Nonlinear Optimal Estimation

Descriptive Note:

Briefing charts

Corporate Author:

PHYSICAL SCIENCES INC ANDOVER MA

Personal Author(s):

• Gittins, Christopher M.

Report Date:

2010-04-09

Pagination or Media Count:

36.0

Abstract:

Algorithm Development Overview Objectives Improve pixel-level detection Reduce probability of false alarm for given Pd Address optically-thick plumes Improve accuracy of estimated path integrated concentration column density, CL Compatible with real-time processing Limitations of current practice Matched-filter-based detection presumes optically-thin plume Other approaches require prior measurements of background - not compatible with on-the-move detection Payoff Improve detection immediately following large-scale release, low-lying plumes improve mass estimate.

Descriptors:

• *HYPERSPECTRAL IMAGERY
• EMISSION
• SYMPOSIA
• INFRARED IMAGES
• PLUMES
• PIXELS
• MATCHED FILTERS
• METAL VAPORS
• ALGORITHMS
• NONLINEAR ANALYSIS

Subject Categories:

• Inorganic Chemistry
• Physical Chemistry
• Infrared Detection and Detectors
• Miscellaneous Detection and Detectors
• Atomic and Molecular Physics and Spectroscopy

Distribution Statement:

APPROVED FOR PUBLIC RELEASE