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Compressive spectral anomaly detection

Publication ,  Conference
Saragadam, V; Wang, J; Li, X; Sankaranarayanan, AC
Published in: 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings
June 16, 2017

We propose a novel compressive imager for detecting anomalous spectral profiles in a scene. We model the background spectrum as a low-dimensional subspace while assuming the anomalies to form a spatially-sparse set of spectral profiles different from the background. Our core contributions are in the form of a two-stage sensing mechanism. In the first stage, we estimate the subspace for the background spectrum by acquiring spectral measurements at a few randomly-selected pixels. In the second stage, we acquire spatially-multiplexed spectral measurements of the scene. We remove the contributions of the background spectrum from the spatially-multiplexed measurements by projecting onto the complementary subspace of the background spectrum; the resulting measurements are of a sparse matrix that encodes the presence and spectra of anomalies, which can be recovered using a Multiple Measurement Vector formulation. Theoretical analysis and simulations show significant speed up in acquisition time over other anomaly detection techniques. A lab prototype based on a DMD and a visible spectrometer validates our proposed imager.

Duke Scholars

Published In

2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings

DOI

Publication Date

June 16, 2017
 

Citation

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Saragadam, V., Wang, J., Li, X., & Sankaranarayanan, A. C. (2017). Compressive spectral anomaly detection. In 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings. https://doi.org/10.1109/ICCPHOT.2017.7951482
Saragadam, V., J. Wang, X. Li, and A. C. Sankaranarayanan. “Compressive spectral anomaly detection.” In 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings, 2017. https://doi.org/10.1109/ICCPHOT.2017.7951482.
Saragadam V, Wang J, Li X, Sankaranarayanan AC. Compressive spectral anomaly detection. In: 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings. 2017.
Saragadam, V., et al. “Compressive spectral anomaly detection.” 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings, 2017. Scopus, doi:10.1109/ICCPHOT.2017.7951482.
Saragadam V, Wang J, Li X, Sankaranarayanan AC. Compressive spectral anomaly detection. 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings. 2017.

Published In

2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings

DOI

Publication Date

June 16, 2017