Research Papers

Hyperspectral material identification on radiance data using single-atmosphere or multiple-atmosphere modeling

[+] Author Affiliations
Adrian V. Mariano, John M. Grossmann

The MITRE Corporation, 7515 Colshire Drive, McLean, VA 22102

J. Appl. Remote Sens. 4(1), 043563 (November 23, 2010). doi:10.1117/1.3526717
History: Received June 17, 2010; Revised November 10, 2010; Accepted November 12, 2010; November 23, 2010; Online November 23, 2010
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Abstract

Reflectance-domain methods convert hyperspectral data from radiance to reflectance using an atmospheric compensation model. Material detection and identification are performed by comparing the compensated data to target reflectance spectra. We introduce two radiance-domain approaches, Single atmosphere Adaptive Cosine Estimator (SACE) and Multiple atmosphere ACE (MACE) in which the target reflectance spectra are instead converted into sensor-reaching radiance using physics-based models. For SACE, known illumination and atmospheric conditions are incorporated in a single atmospheric model. For MACE the conditions are unknown so the algorithm uses many atmospheric models to cover the range of environmental variability, and it approximates the result using a subspace model. This approach is sometimes called the invariant method, and requires the choice of a subspace dimension for the model. We compare these two radiance-domain approaches to a Reflectance-domain ACE (RACE) approach on a HYDICE image featuring concealed materials. All three algorithms use the ACE detector, and all three techniques are able to detect most of the hidden materials in the imagery. For MACE we observe a strong dependence on the choice of the material subspace dimension. Increasing this value can lead to a decline in performance.

© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Adrian V. Mariano and John M. Grossmann
"Hyperspectral material identification on radiance data using single-atmosphere or multiple-atmosphere modeling", J. Appl. Remote Sens. 4(1), 043563 (November 23, 2010). ; http://dx.doi.org/10.1117/1.3526717


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