Estimating atmosphere parameters in hyperspectral data

Jörgen Ahlberg

doi:10.1117/12.851321

12 May 2010 Estimating atmosphere parameters in hyperspectral data

Jörgen Ahlberg

Proceedings Volume 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI; 76952A (2010) https://doi.org/10.1117/12.851321
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

We address the problem of estimating atmosphere parameters (temperature, water vapour content) from data captured by an airborne thermal hyperspectral imager, and propose a method based on direct optimization. The method also involves the estimation of object parameters (temperature and emissivity) under the restriction that the emissivity is constant for all wavelengths. Certain sensor parameters can be estimated as well in the same process. The method is analyzed with respect to sensitivity to noise and number of spectral bands. Simulations with synthetic signatures are performed to validate the analysis, showing that estimation can be performed with as few as 10-20 spectral bands at moderate noise levels. More than 20 bands does not improve the estimates. The proposed method is also extended to incorporate additional knowledge, for example measurements of atmospheric parameters and sensor noise.

Citation Download Citation

Jörgen Ahlberg "Estimating atmosphere parameters in hyperspectral data", Proc. SPIE 7695, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI, 76952A (12 May 2010); https://doi.org/10.1117/12.851321

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