TY - GEN
T1 - The comparability of aggregated emissivity and temperature of heterogeneous pixel to conventional tes methods
AU - Cubero-Castan, Manuel
AU - Briottet, Xavier
AU - Achard, Veronique
AU - Shimoni, Michal
AU - Chanussot, Jocelyn
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2013/6/28
Y1 - 2013/6/28
N2 - Unmixing in the reflective domain is a well known technique to retrieve materials and their abundances from hyperspectral imaging scene. However, for the thermal domain (8-14 μm) only few unmixing models were developed due to the complexity of retrieving three unknowns (i.e. materials abundance, temperature and emissivity) from the pixel radiance. Attempt to solve this complexity is using aggregation models. The aggregation models are physics based models which estimate the pixel radiance with the contribution of acquisition parameters and scene description including the temperature and the emissivity of materials. This paper focuses on the comparison of temperature / emissivity estimated using inhouse aggregation model with two conventional Temperature and Emissivity Separation (TES) methods: Maximum Minimum Differences (MMD/TES) and SPectral SMoothness method (SpSm). This comparison is achieved using synthetic mixed pixels of two sensors AHS-160 and SEBASS. The results show that below a temperature difference of 30 K, the aggregation models are in good adequacy with the TES estimations.
AB - Unmixing in the reflective domain is a well known technique to retrieve materials and their abundances from hyperspectral imaging scene. However, for the thermal domain (8-14 μm) only few unmixing models were developed due to the complexity of retrieving three unknowns (i.e. materials abundance, temperature and emissivity) from the pixel radiance. Attempt to solve this complexity is using aggregation models. The aggregation models are physics based models which estimate the pixel radiance with the contribution of acquisition parameters and scene description including the temperature and the emissivity of materials. This paper focuses on the comparison of temperature / emissivity estimated using inhouse aggregation model with two conventional Temperature and Emissivity Separation (TES) methods: Maximum Minimum Differences (MMD/TES) and SPectral SMoothness method (SpSm). This comparison is achieved using synthetic mixed pixels of two sensors AHS-160 and SEBASS. The results show that below a temperature difference of 30 K, the aggregation models are in good adequacy with the TES estimations.
KW - AHS
KW - Aggregation model
KW - SE-BASS
KW - Temperature/Emissivity separation (TES)
KW - Thermal Infrared (TIR)
UR - https://www.scopus.com/pages/publications/84908026836
U2 - 10.1109/WHISPERS.2013.8080663
DO - 10.1109/WHISPERS.2013.8080663
M3 - Conference contribution
AN - SCOPUS:84908026836
T3 - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
BT - 2013 5th Workshop on Hyperspectral Image and Signal Processing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013
Y2 - 26 June 2013 through 28 June 2013
ER -