15 September 1998 Analyst-trainable fusion algorithms for surveillance applications
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The Toolkit for Image Mining (TIM) is a prototype software environment that enables users with no knowledge of image processing and machine learning to interactively create image search and image analysis tools. TIM is being used as a testbed for the study of issues related to data fusion and on-the-fly training in the context of target recognition in DARPA's Semi-Automated IMINT Processing system. Experiments done in this environment suggest that on-the-fly training is technically feasible, need not pose an extra burden on image analysts, and can increase the flexibility and adaptability of surveillance algorithms.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard L. Delanoy, Richard L. Delanoy, Richard T. Lacoss, Richard T. Lacoss, } "Analyst-trainable fusion algorithms for surveillance applications", Proc. SPIE 3370, Algorithms for Synthetic Aperture Radar Imagery V, (15 September 1998); doi: 10.1117/12.321870; https://doi.org/10.1117/12.321870

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