A covariance-based anomaly detector for polarimetric remote sensing applications

Joao M. Romano; Dalton Rosario

doi:10.1117/12.2050398

21 May 2014 A covariance-based anomaly detector for polarimetric remote sensing applications

Joao M. Romano, Dalton Rosario

Proceedings Volume 9099, Polarization: Measurement, Analysis, and Remote Sensing XI; 90990E (2014) https://doi.org/10.1117/12.2050398
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

The proposed paper recommends a new anomaly detection algorithm for polarimetric remote sensing applications based on the M-Box covariance test by taking advantage of key features found in a multi-polarimetric data cube. The paper demonstrates: 1) that independent polarization measurements contain information suitable for manmade object discrimination from natural clutter; 2) analysis between the variability exhibited by manmade objects relative to natural clutter; 3) comparison between the proposed M-Box covariance test with Stokes parameters S₀ and S₁, DoLP, RX Stokes, and PCA RX-Stokes; and finally 4) the data used for the comparison spans a full24-hour measurement.

Citation Download Citation

Joao M. Romano and Dalton Rosario "A covariance-based anomaly detector for polarimetric remote sensing applications", Proc. SPIE 9099, Polarization: Measurement, Analysis, and Remote Sensing XI, 90990E (21 May 2014); https://doi.org/10.1117/12.2050398

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