Order of battle change detection, fusion, and tracking | Zendy

Mark J. Carlotto | Zendy; Mark Nebrich | Zendy; David Crary | Zendy

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<title>Order of battle change detection, fusion, and tracking</title>

Author(s) -

Mark J. Carlotto,

Mark Nebrich,

David Crary

Publication year - 2002

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.477615

Subject(s) - change detection , computer science , artificial intelligence , synthetic aperture radar , computer vision , tracking (education) , sensor fusion , image fusion , fusion , real time computing , image (mathematics) , psychology , pedagogy , linguistics , philosophy

The automatic detection of significant changes in imagery is important in a number of intelligence, surveillance, and reconnaissance (ISR) tasks. An automated capability known as the Order of Battle Change Fusion (OBCF) system is described for detecting, fusing, and tracking changes over time in multi-sensor imagery. OBCF uses multiple change detection algorithms to exploit different aspects of change in multi-sensor images, normalcy models that provide a physical basis for detecting change and estimating the performance of change detection algorithms, algorithm fusion to combine the results from multiple change detection algorithms in order to enhance and maintain performance over changing operating conditions, and stationary tracking to provide a seamless history of image changes over time across different sensing modalities. Preliminary experimental results using electro-optical (EO) and synthetic aperture radar (SAR) imagery are presented.

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