Order of battle change detection, fusion, and tracking

Mark J. Carlotto; Mark A. Nebrich; David Crary

doi:10.1117/12.477615

31 July 2002 Order of battle change detection, fusion, and tracking

Mark J. Carlotto, Mark A. Nebrich, David Crary

Proceedings Volume 4729, Signal Processing, Sensor Fusion, and Target Recognition XI; (2002) https://doi.org/10.1117/12.477615
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

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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Mark J. Carlotto, Mark A. Nebrich, and David Crary "Order of battle change detection, fusion, and tracking", Proc. SPIE 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, (31 July 2002); https://doi.org/10.1117/12.477615

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