Paper
18 May 2013 Security inspection in ports by anomaly detection using hyperspectral imaging technology
Javier Rivera, Fernando Valverde, Manuel Saldaña, Vidya Manian
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Javier Rivera, Fernando Valverde, Manuel Saldaña, and Vidya Manian "Security inspection in ports by anomaly detection using hyperspectral imaging technology", Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 87430C (18 May 2013); https://doi.org/10.1117/12.2018067
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KEYWORDS
Inspection

Hyperspectral imaging

Image processing

Detection and tracking algorithms

Information security

Target detection

Human-machine interfaces

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