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- W1966593975 abstract "We present a method for partitioning a multispectral image into fixed size look-up tables (LUTs) that are dynamically updated for presence or absence of simple distribution characterizing features of the sub-frames they represent. If the features have been previously observed, the sub-frame is recognized and no update occurs, if not the table is updated and a suitable anomaly reported. Our method enables dynamic change detection to occur at multiple wavelengths independently by creating suitable LUTs for each wavelength band. Details of our approach are presented." @default.
- W1966593975 created "2016-06-24" @default.
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- W1966593975 date "2012-05-01" @default.
- W1966593975 modified "2023-09-23" @default.
- W1966593975 title "Data model LUT-based change and anomaly detection for real-time multispectral image characterization" @default.
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- W1966593975 doi "https://doi.org/10.1117/12.915176" @default.
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