Progressive Band Processing of Anomaly Detection

Band selection (BS) has advantages over data dimensionality in satellite communication and data transmission in the sense that spectral bands can be selected by users at their discretion for data analysis, while preserving data fidelity. However, to materialize BS in such practical applications several issues need to be addressed. One is how many bands required for BS. Another is how to select appropriate bands. A third one is how to take advantage of previously selected bands without re-implementing BS. Finally and most important one is how to process BS as number of bands varies. This paper presents a specific application to progressive band processing of anomaly detection, which does not require BS and can be carried out in a progressive fashion with data updated recursively band by band in the same way that data is processed by a Kalman filter.