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Coupled Subspace-Based Atmospheric Compensation of LWIR Hyperspectral Data.
- Source :
- IEEE Transactions on Geoscience & Remote Sensing; Aug2019, Vol. 57 Issue 8, p5224-5238, 15p
- Publication Year :
- 2019
-
Abstract
- This paper deals with atmospheric correction in hyperspectral data acquired in the long-wave infrared (LWIR) spectral range. Atmospheric compensation (AC) is approached from a new perspective in that it is reformulated as an estimation problem on a low-rank subspace. Specifically, a subspace-based model is exploited to represent both the atmospheric transmittance and the upwelling radiance. Taking into account the inherent correlation between these two quantities, we adopt a subspace model that constrains them to vary in a physically consistent way. Exploiting such a model, AC is formulated as a nonlinear least-squares estimation problem. An automatic procedure is proposed to estimate the unknown parameters, which is based only on the image analysis and does not need any atmospheric measurements. Results of an extensive experimental analysis carried out on simulated data are used to discuss the performance of the algorithm with respect to different atmospheric conditions. Finally, experimental evidence over a real LWIR hyperspectral image is provided. [ABSTRACT FROM AUTHOR]
- Subjects :
- WAGES
NONLINEAR estimation
IMAGE analysis
WEATHER
RADIANCE
Subjects
Details
- Language :
- English
- ISSN :
- 01962892
- Volume :
- 57
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Geoscience & Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 138462701
- Full Text :
- https://doi.org/10.1109/TGRS.2019.2897498