Overhead longwave infrared hyperspectral material identification using radiometric models

Zelinski, Michael E.

doi:10.1117/1.JRS.12.025019

Title: Overhead longwave infrared hyperspectral material identification using radiometric models

Journal Article · Sat Jun 30 00:00:00 EDT 2018 · Journal of Applied Remote Sensing

DOI:https://doi.org/10.1117/1.JRS.12.025019· OSTI ID:1474374

Zelinski, Michael E. ^[1]

Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Material detection algorithms used in hyperspectral data processing are computationally efficient but can produce relatively high numbers of false positives. Material identification performed as a secondary processing step on detected pixels can help mitigate false positives. A material identification processing chain for longwave infrared hyperspectral data of solid materials collected from airborne platforms is presented. The algorithms utilize unwhitened radiance data and Nelder–Meade numerical optimization to estimate the temperature, humidity, and ozone levels of the atmospheric profile. Pixel unmixing is done using constrained linear regression and Bayesian information criteria for model selection. The resulting identification product includes an optimal atmospheric profile and a full radiance material model that includes material temperature, abundance values, and several fit statistics. A logistic regression method utilizing the model parameters to improve identification is also presented. Furthermore, several examples are provided using modeled data at several noise levels.

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Research Organization:: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 1474374

Report Number(s):: LLNL-JRNL-758262; 943925

Journal Information:: Journal of Applied Remote Sensing, Vol. 12, Issue 02; ISSN 1931-3195

Publisher:: SPIECopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 2 works

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References (11)

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A new method of relative radiometric calibration for hyperspectral imaging based on skylight monitor Zhou, Shi-yao; Zhang, Dong; Liu, Hong-lin Optical and Quantum Electronics, Vol. 51, Issue 11 https://doi.org/10.1007/s11082-019-2092-5	journal	November 2019

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58 GEOSCIENCES
97 MATHEMATICS AND COMPUTING
hyperspectral
longwave infrared
radiometric modeling
detection
identification

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