Los Alamos National Laboratory

Los Alamos National Laboratory

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Data Analytics for SAR

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Data Analytics for SAR

We assess the ability of variants of anomalous change detection (ACD) to identify human activity associated with large outdoor music festivals as they are seen from synthetic aperture radar (SAR) imagery collected by the Sentinel-1 satellite con-stellation. We found that, with appropriate feature vectors, ACD using random-forest machine learn-ing was most effective at identifying changes asso-ciated with the human activity.

Summary of full paper (pdf)


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