A multispectral automatic target recognition application for maritime surveillance, search, and rescue

Jon Schoonmaker; Scott Reed; Yuliya Podobna; Jose Vazquez; Cynthia Boucher

doi:10.1117/12.852651

5 May 2010 A multispectral automatic target recognition application for maritime surveillance, search, and rescue

Jon Schoonmaker, Scott Reed, Yuliya Podobna, Jose Vazquez, Cynthia Boucher

Proceedings Volume 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX; 76661V (2010) https://doi.org/10.1117/12.852651
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

Jon Schoonmaker, Scott Reed, Yuliya Podobna, Jose Vazquez, and Cynthia Boucher "A multispectral automatic target recognition application for maritime surveillance, search, and rescue", Proc. SPIE 7666, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense IX, 76661V (5 May 2010); https://doi.org/10.1117/12.852651

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available