Modeling of LWIR hyperspectral system performance for surface object and effluent detection applications

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4381, Issue , 2001, Pages 348-359

  Kerekes, J P ^a   Griffin, M K ^a   Baum, J E ^a   Farrar, K E ^a  

^a MIT LINCOLN LABORATORY   (United States)

Author keywords

Effluent detection; LWIR hyperspectral system modeling; Sensor parameter tradeoffs

Indexed keywords

IMAGE SENSORS; INFRARED IMAGING; PARAMETER ESTIMATION; SPECTRUM ANALYSIS; SURFACE PROPERTIES;

EFFLUENT DETECTION; HYPERSPECTRAL IMAGING (HSI) SYSTEMS;

REMOTE SENSING;

EID: 0035158478     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.437025     Document Type: Conference Paper

References (12)

1. Special issue on imaging spectroscopy
2. Subpixel object detection and fraction estimation in hyperspectral imagery
3. Analytical model of hyperspectral system performance
4. MODTRAN cloud and multiple scattering upgrades with application to AVIRIS
5. Characterization of gaseous effluents from modeling of LWIR hyperspectral measurements
6. An efficient gaussian-plume multiple-source air quality algorithm
7. Diffusion estimation for small emissions
8. Atmospheric dispersion parameters in Gaussian plume Modeling. Part II. Possible requirements for change in the turner workbook values
9. A theoretical variation of the wind profile law exponent as a function of surface roughness and stability
10. Validation of FASE (FASCODE for the environment) and MODTRAN3: Updates and comparisons with clear-sky measurements
11. LWIR/MWIR imaging hyperspectral sensor for airborne and ground-based remote sensing