TY - GEN
T1 - Data fusion for improving thermal emissivity separation from hyperspectral data
AU - Shimoni, M.
AU - Haelterman, R.
AU - Lodewyckx, P.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/10
Y1 - 2015/11/10
N2 - Land Surface Temperature (LST) and Land Surface Emissivity (LSE) are common retrievals from thermal hyperspectral imaging. However, their retrieval is not a straightforward procedure because the mathematical problem is ill-posed. This procedure becomes more challenging in an urban area where the spatial distribution of temperature varies substantially in space and time. In this study we propose a new method which integrates 3D surface information from LIDAR data in an attempt to improve the temperature and emissivity separation (TES) procedure for thermal hyperspectral scene. The experimental results prove the high accuracy of the proposed method in comparison to another conventional TES model.
AB - Land Surface Temperature (LST) and Land Surface Emissivity (LSE) are common retrievals from thermal hyperspectral imaging. However, their retrieval is not a straightforward procedure because the mathematical problem is ill-posed. This procedure becomes more challenging in an urban area where the spatial distribution of temperature varies substantially in space and time. In this study we propose a new method which integrates 3D surface information from LIDAR data in an attempt to improve the temperature and emissivity separation (TES) procedure for thermal hyperspectral scene. The experimental results prove the high accuracy of the proposed method in comparison to another conventional TES model.
KW - Digital Elevation Model (DEM)
KW - Land Surface Emissivity (LSE)
KW - Land Surface Temperature (LST)
KW - Temperature Emissivity Separation (TES)
KW - Thermal hyperspectral
UR - https://www.scopus.com/pages/publications/84962616861
U2 - 10.1109/IGARSS.2015.7326435
DO - 10.1109/IGARSS.2015.7326435
M3 - Conference contribution
AN - SCOPUS:84962616861
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2955
EP - 2958
BT - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Y2 - 26 July 2015 through 31 July 2015
ER -