Discrimination requirements model

Robert F. Cuffel; Lisa A. Strugala; C. Pham; James A. Kiessling; P. W. Kelsey

doi:10.1117/12.213033

5 July 1995 Discrimination requirements model

Robert F. Cuffel, Lisa A. Strugala, C. Pham, James A. Kiessling, P. W. Kelsey

Proceedings Volume 2484, Signal Processing, Sensor Fusion, and Target Recognition IV; (1995) https://doi.org/10.1117/12.213033
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

The development of a discrimination software testbed, the Discrimination Requirements Model (DRM), intended to support IR sensor requirements definition is described. The DRM employs the standard pattern recognition paradigm, e.g., the reduction of a Monte Carlo database of noised input object signatures into the corresponding target and non-target feature vector sets. Classification of the feature vectors is performed using a varied threshold. The false alarm (P_FA) and leakage (P_L) error probabilities are estimated via a leave-one- out procedure. The resultant P_FA versus P_L curve of user selectable thresholds is used to evaluate discrimination performance for the test signature database. Degradation of input signature data strings is accomplished through a set of user selectable sensor performance capabilities. The selectable feature subset includes statistical, curvilinear fit, dynamical, and centralized moment-based parameters for single and multiple band optical systems as well as various normalization options. The DRM accommodates dropouts and other realistic SNR effects. A centralized approach is employed for multiple sensor data fusion for discrimination based on prior associated object tracks. Applications to sensor design and system performance projections are discussed.

Citation Download Citation

Robert F. Cuffel, Lisa A. Strugala, C. Pham, James A. Kiessling, and P. W. Kelsey "Discrimination requirements model", Proc. SPIE 2484, Signal Processing, Sensor Fusion, and Target Recognition IV, (5 July 1995); https://doi.org/10.1117/12.213033

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