Paper
24 September 2013 Progressive band processing of anomaly detection
Author Affiliations +
Abstract
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert Schultz, Shih-Yu Chen, Yulei Wang, Chunhong Liu, and Chein-I Chang "Progressive band processing of anomaly detection", Proc. SPIE 8871, Satellite Data Compression, Communications, and Processing IX, 88710P (24 September 2013); https://doi.org/10.1117/12.2027863
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Thallium

Sensors

Data processing

Data communications

Image processing

Data compression

Nickel

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