A physics-based unmixing method for thermal hyperspectral images

Manuel Cubero-Castan; Jocelyn Chanussot; Véronique Achard; Xavier Briottet; Michal Shimoni

doi:10.1109/ICIP.2014.7026029

A physics-based unmixing method for thermal hyperspectral images

Manuel Cubero-Castan
, Jocelyn Chanussot
, Véronique Achard
, Xavier Briottet
, Michal Shimoni

GIPSA-Lab
Office National d'Etudes et de Recherches Aerospatiales
University of Iceland-Centre for Disability Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

The estimation of surface emissivity and temperature from thermal hyperspectral data is a challenge. There are several methods that estimate the temperature and the emissivity by assuming that the pixel is composed by a single material. However, the estimation of the temperature on a mixed pixel, i.e. a pixel composed by more than one material, is more complex and has scarcely been investigated in the literature. This paper addresses this issue by jointly estimating the materials composing the mixed pixel and their temperatures. It uses an unmixing method based on the linearization of the Black Body law. The performance of this strategy is studied using synthetic data and a real thermal image acquired by the TASI sensor.

Original language	English
Title of host publication	2014 IEEE International Conference on Image Processing, ICIP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5082-5086
Number of pages	5
ISBN (Electronic)	9781479957514
DOIs	https://doi.org/10.1109/ICIP.2014.7026029
Publication status	Published - 28 Jan 2014

Publication series

Name	2014 IEEE International Conference on Image Processing, ICIP 2014

Keywords

Hyperspectral Sensors
TASI sensor
Temperature & Emissivity Separation (TES)
Unmixing

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10.1109/ICIP.2014.7026029

Cite this

Cubero-Castan, M., Chanussot, J., Achard, V., Briottet, X., & Shimoni, M. (2014). A physics-based unmixing method for thermal hyperspectral images. In 2014 IEEE International Conference on Image Processing, ICIP 2014 (pp. 5082-5086). Article 7026029 (2014 IEEE International Conference on Image Processing, ICIP 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIP.2014.7026029

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title = "A physics-based unmixing method for thermal hyperspectral images",

abstract = "The estimation of surface emissivity and temperature from thermal hyperspectral data is a challenge. There are several methods that estimate the temperature and the emissivity by assuming that the pixel is composed by a single material. However, the estimation of the temperature on a mixed pixel, i.e. a pixel composed by more than one material, is more complex and has scarcely been investigated in the literature. This paper addresses this issue by jointly estimating the materials composing the mixed pixel and their temperatures. It uses an unmixing method based on the linearization of the Black Body law. The performance of this strategy is studied using synthetic data and a real thermal image acquired by the TASI sensor.",

keywords = "Hyperspectral Sensors, TASI sensor, Temperature \& Emissivity Separation (TES), Unmixing",

author = "Manuel Cubero-Castan and Jocelyn Chanussot and V{\'e}ronique Achard and Xavier Briottet and Michal Shimoni",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",

year = "2014",

month = jan,

day = "28",

doi = "10.1109/ICIP.2014.7026029",

language = "English",

series = "2014 IEEE International Conference on Image Processing, ICIP 2014",

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Cubero-Castan, M, Chanussot, J, Achard, V, Briottet, X & Shimoni, M 2014, A physics-based unmixing method for thermal hyperspectral images. in 2014 IEEE International Conference on Image Processing, ICIP 2014., 7026029, 2014 IEEE International Conference on Image Processing, ICIP 2014, Institute of Electrical and Electronics Engineers Inc., pp. 5082-5086. https://doi.org/10.1109/ICIP.2014.7026029

A physics-based unmixing method for thermal hyperspectral images. / Cubero-Castan, Manuel; Chanussot, Jocelyn; Achard, Véronique et al.
2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 5082-5086 7026029 (2014 IEEE International Conference on Image Processing, ICIP 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A physics-based unmixing method for thermal hyperspectral images

AU - Cubero-Castan, Manuel

AU - Chanussot, Jocelyn

AU - Achard, Véronique

AU - Briottet, Xavier

AU - Shimoni, Michal

PY - 2014/1/28

Y1 - 2014/1/28

N2 - The estimation of surface emissivity and temperature from thermal hyperspectral data is a challenge. There are several methods that estimate the temperature and the emissivity by assuming that the pixel is composed by a single material. However, the estimation of the temperature on a mixed pixel, i.e. a pixel composed by more than one material, is more complex and has scarcely been investigated in the literature. This paper addresses this issue by jointly estimating the materials composing the mixed pixel and their temperatures. It uses an unmixing method based on the linearization of the Black Body law. The performance of this strategy is studied using synthetic data and a real thermal image acquired by the TASI sensor.

AB - The estimation of surface emissivity and temperature from thermal hyperspectral data is a challenge. There are several methods that estimate the temperature and the emissivity by assuming that the pixel is composed by a single material. However, the estimation of the temperature on a mixed pixel, i.e. a pixel composed by more than one material, is more complex and has scarcely been investigated in the literature. This paper addresses this issue by jointly estimating the materials composing the mixed pixel and their temperatures. It uses an unmixing method based on the linearization of the Black Body law. The performance of this strategy is studied using synthetic data and a real thermal image acquired by the TASI sensor.

KW - Hyperspectral Sensors

KW - TASI sensor

KW - Temperature & Emissivity Separation (TES)

KW - Unmixing

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DO - 10.1109/ICIP.2014.7026029

M3 - Conference contribution

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BT - 2014 IEEE International Conference on Image Processing, ICIP 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Cubero-Castan M, Chanussot J, Achard V, Briottet X, Shimoni M. A physics-based unmixing method for thermal hyperspectral images. In 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 5082-5086. 7026029. (2014 IEEE International Conference on Image Processing, ICIP 2014). doi: 10.1109/ICIP.2014.7026029

A physics-based unmixing method for thermal hyperspectral images

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