
Proceedings Paper
A multispectral automatic target recognition application for maritime surveillance, search, and rescueFormat | Member Price | Non-Member Price |
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Paper Abstract
Due to increased security concerns, the commitment to monitor and maintain security in the maritime environment is
increasingly a priority. A country's coast is the most vulnerable area for the incursion of illegal immigrants, terrorists
and contraband. This work illustrates the ability of a low-cost, light-weight, multi-spectral, multi-channel imaging
system to handle the environment and see under difficult marine conditions. The system and its implemented
detecting and tracking technologies should be organic to the maritime homeland security community for search and
rescue, fisheries, defense, and law enforcement. It is tailored for airborne and ship based platforms to detect, track
and monitor suspected objects (such as semi-submerged targets like marine mammals, vessels in distress, and drug
smugglers). In this system, automated detection and tracking technology is used to detect, classify and localize
potential threats or objects of interest within the imagery provided by the multi-spectral system. These algorithms
process the sensor data in real time, thereby providing immediate feedback when features of interest have been
detected. A supervised detection system based on Haar features and Cascade Classifiers is presented and results are
provided on real data. The system is shown to be extendable and reusable for a variety of different applications.
Paper Details
Date Published: 5 May 2010
PDF: 11 pages
Proc. SPIE 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX, 76661V (5 May 2010); doi: 10.1117/12.852651
Published in SPIE Proceedings Vol. 7666:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX
Edward M. Carapezza, Editor(s)
PDF: 11 pages
Proc. SPIE 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX, 76661V (5 May 2010); doi: 10.1117/12.852651
Show Author Affiliations
Jon Schoonmaker, Advanced Coherent Technologies LLC (United States)
Scott Reed, SeeByte Ltd. (United Kingdom)
Yuliya Podobna, Advanced Coherent Technologies LLC (United States)
Scott Reed, SeeByte Ltd. (United Kingdom)
Yuliya Podobna, Advanced Coherent Technologies LLC (United States)
Jose Vazquez, SeeByte Ltd. (United Kingdom)
Cynthia Boucher, Advanced Coherent Technologies LLC (United States)
Cynthia Boucher, Advanced Coherent Technologies LLC (United States)
Published in SPIE Proceedings Vol. 7666:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX
Edward M. Carapezza, Editor(s)
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