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Proceedings Paper

Security inspection in ports by anomaly detection using hyperspectral imaging technology
Author(s): Javier Rivera; Fernando Valverde; Manuel Saldaña; Vidya Manian
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Paper Abstract

Applying hyperspectral imaging technology in port security is crucial for the detection of possible threats or illegal activities. One of the most common problems that cargo suffers is tampering. This represents a danger to society because it creates a channel to smuggle illegal and hazardous products. If a cargo is altered, security inspections on that cargo should contain anomalies that reveal the nature of the tampering. Hyperspectral images can detect anomalies by gathering information through multiple electromagnetic bands. The spectrums extracted from these bands can be used to detect surface anomalies from different materials. Based on this technology, a scenario was built in which a hyperspectral camera was used to inspect the cargo for any surface anomalies and a user interface shows the results. The spectrum of items, altered by different materials that can be used to conceal illegal products, is analyzed and classified in order to provide information about the tampered cargo. The image is analyzed with a variety of techniques such as multiple features extracting algorithms, autonomous anomaly detection, and target spectrum detection. The results will be exported to a workstation or mobile device in order to show them in an easy -to-use interface. This process could enhance the current capabilities of security systems that are already implemented, providing a more complete approach to detect threats and illegal cargo.

Paper Details

Date Published: 18 May 2013
PDF: 11 pages
Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 87430C (18 May 2013); doi: 10.1117/12.2018067
Show Author Affiliations
Javier Rivera, Univ. de Puerto Rico Mayagüez (United States)
Fernando Valverde, Univ. de Puerto Rico Mayagüez (United States)
Manuel Saldaña, Univ. de Puerto Rico Mayagüez (United States)
Vidya Manian, Univ. de Puerto Rico Mayagüez (United States)


Published in SPIE Proceedings Vol. 8743:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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