Real-time progressive band processing of linear spectral unmixing

Chao-Cheng Wu; Keng-hao Liu; Chein-I Chang

doi:10.1117/12.979180

8 November 2012 Real-time progressive band processing of linear spectral unmixing

Chao-Cheng Wu, Keng-hao Liu, Chein-I Chang

Proceedings Volume 8539, High-Performance Computing in Remote Sensing II; 853904 (2012) https://doi.org/10.1117/12.979180
Event: SPIE Remote Sensing, 2012, Edinburgh, United Kingdom

Abstract

Band selection (BS) has advantages over data dimensionality in satellite communication and data transmission in the sense that the spectral bands can be tuned by users at their discretion for data analysis while keeping data integrity. 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 importantly is how to tune bands to be selected in real time as number of bands varies. This paper presents an application in spectral unmixing, progressive band selection in linear spectral unmixing to address the above-mentioned issues where data unmixing can be carried out in a real time and progressive fashion with data updated recursively band by band in the same way that data is processed by a Kalman filter.

Citation Download Citation

Chao-Cheng Wu, Keng-hao Liu, and Chein-I Chang "Real-time progressive band processing of linear spectral unmixing", Proc. SPIE 8539, High-Performance Computing in Remote Sensing II, 853904 (8 November 2012); https://doi.org/10.1117/12.979180

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