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
N1 - Publisher Copyright:
© 2014 IEEE.
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
UR - https://www.scopus.com/pages/publications/84949927001
U2 - 10.1109/ICIP.2014.7026029
DO - 10.1109/ICIP.2014.7026029
M3 - Conference contribution
AN - SCOPUS:84949927001
T3 - 2014 IEEE International Conference on Image Processing, ICIP 2014
SP - 5082
EP - 5086
BT - 2014 IEEE International Conference on Image Processing, ICIP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -