Paper
13 August 2010 The impact of band selection on gas detection algorithms
S. R. Rotman, N. Bar-Zeev, L. Stern
Author Affiliations +
Abstract
A new method is developed for evaluating band selection for detecting gases in hyperspectral images. We use a no-gas background to estimate the sample correlation matrix; we detect anomalies in the gas-present image. After separating the gas and background pixels, we then calculate the SNR. We find that increasing the number of bands tends to lower our overall performance.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. R. Rotman, N. Bar-Zeev, and L. Stern "The impact of band selection on gas detection algorithms", Proc. SPIE 7812, Imaging Spectrometry XV, 78120A (13 August 2010); https://doi.org/10.1117/12.859071
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Signal to noise ratio

Detection and tracking algorithms

Gases

L band

Hyperspectral imaging

Hyperspectral target detection

Long wavelength infrared

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