3 October 2006 Spectral angle mapper based assessment of detectability of man-made targets from hyperspectral imagery after SNR enhancement
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Abstract
This paper assesses the effectiveness of a signal-to-noise ratio (SNR) enhancement technology for hyperspectral imagery to examine whether it can better serve remote sensing applications. A hyperspectral data set acquired using an airborne Short-wave-infrared Full Spectrum Image II with man-made targets in the scene of the data set was tested. Spectral angle mapper and end-members of different target materials were used to measure the superficies of the targets and to assess the detectability of the targets before and after applying the SNR enhancement technology to the data set. The experimental results show that small targets, which cannot be detected in the original data set due to inadequate SNR and low spatial resolution, can be detected after the SNR of the data set is enhanced.
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Shen-En Qian, Hisham Othman, and Josée Lévesque "Spectral angle mapper based assessment of detectability of man-made targets from hyperspectral imagery after SNR enhancement", Proc. SPIE 6361, Sensors, Systems, and Next-Generation Satellites X, 63611H (3 October 2006); doi: 10.1117/12.689113; https://doi.org/10.1117/12.689113
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