Accession Number:

ADA580327

Title:

Compressive Hyperspectral Imaging and Anomaly Detection

Descriptive Note:

Final rept. 1 May 2010-30 Apr 2012

Corporate Author:

LEVEL SET SYSTEMS INC PACIFIC PALISADES CA

Report Date:

2013-03-01

Pagination or Media Count:

37.0

Abstract:

We have developed and applied successfully new algorithms for hyperspectral imagery. These include compressive sensing, anomaly detection, target detection, endmember detection, unmixing and change detection. These were tested on data provided by AFRL with good results, including change detection under different lightning conditions. Ideas involved Bregman iteration applied to L1 and total variation based optimizations were used and also successfully applied to subsampled data. A nonnegative matrix factorization and completion algorithm was introduced which allows the reconstruction of partially observed or corrupted hyperspectral data. A surprising spinoff is sparse reconstruction of offshore oil spills based on multispectral measurements.

Subject Categories:

  • Atomic and Molecular Physics and Spectroscopy

Distribution Statement:

APPROVED FOR PUBLIC RELEASE