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- W64194808 abstract "This paper proposes a tracking method for multispectral and hyperspectral sequences. Tracking small objects in spectral scenes is often difficult with the assumption of coarse pixels due to sensor resolution and often requires the use of subpixel detection algorithms. The approach presented in this paper combines the linear spectral mixing model with Kalman-Filter (KF) for tracking. We introduce the dimension of time to the problem of spectral unmixing to identify and track subpixel size targets. Results are provided and compared with previously proposed methods for tracking targets in spectral data." @default.
- W64194808 created "2016-06-24" @default.
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- W64194808 date "2014-06-01" @default.
- W64194808 modified "2023-09-28" @default.
- W64194808 title "Subpixel tracking using spectral data and Kalman filter" @default.
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- W64194808 doi "https://doi.org/10.1109/whispers.2014.8077517" @default.
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