TY - GEN
T1 - An unmixing-based method for the analysis of thermal hyperspectral images
AU - Cubero-Castan, Manuel
AU - Chanussot, Jocelyn
AU - Briottet, Xavier
AU - Shimoni, Michal
AU - Achard, Véronique
PY - 2014
Y1 - 2014
N2 - The estimation of surface emissivity and temperature from thermal hyperspectral data is a challenge. Methods that estimate the temperature and emissivity on a pixel composed by one single material exist. 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 proposing an estimator which linearizes the Black Body law around the mean temperature of each material. The performance of this estimator is studied using simulated data with different hyperspectral sensor configurations and under various noise conditions. The obtained results are encouraging and show an accuracy on the estimated temperature of 0.5 K while using high spectral resolution sensor.
AB - The estimation of surface emissivity and temperature from thermal hyperspectral data is a challenge. Methods that estimate the temperature and emissivity on a pixel composed by one single material exist. 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 proposing an estimator which linearizes the Black Body law around the mean temperature of each material. The performance of this estimator is studied using simulated data with different hyperspectral sensor configurations and under various noise conditions. The obtained results are encouraging and show an accuracy on the estimated temperature of 0.5 K while using high spectral resolution sensor.
KW - Cramer-Rao Lower Bound (CRLB)
KW - Hyperspectral Sensors
KW - Linear Unmixing
KW - Temperature & Emissivity Separation (TES)
UR - https://www.scopus.com/pages/publications/84905284803
U2 - 10.1109/ICASSP.2014.6855120
DO - 10.1109/ICASSP.2014.6855120
M3 - Conference contribution
AN - SCOPUS:84905284803
SN - 9781479928927
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 7809
EP - 7813
BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Y2 - 4 May 2014 through 9 May 2014
ER -