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Proceedings Paper

Fusion of LWIR sensor data by Bayesian methods
Author(s): Ramarao Inguva; Grannison Garrison
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Paper Abstract

Using Bayesian statistical methods a formulation is setup for fusing multi band data from LWIR sensors. This formulation is illustrated with applications to synthetic data consisting of 100 signatures in the wavelength bands 6 - 10 micrometers , 11 - 16 micrometers and 17 - 21 micrometers . Following the works of Jaynes, and Bretthorst, a Bayesian formulation is given for detrending the time series data for the emissive area, followed by estimations of frequencies and their amplitudes. This formulation is illustrated with analysis of the synthetic data.

Paper Details

Date Published: 20 March 1998
PDF: 14 pages
Proc. SPIE 3376, Sensor Fusion: Architectures, Algorithms, and Applications II, (20 March 1998); doi: 10.1117/12.303676
Show Author Affiliations
Ramarao Inguva, Science and Technology Consultants, Inc. (United States)
Grannison Garrison, Nichols Research Corp. (United States)


Published in SPIE Proceedings Vol. 3376:
Sensor Fusion: Architectures, Algorithms, and Applications II
Belur V. Dasarathy, Editor(s)

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