Title :
A theoretical analysis of a ranking discrimination algorithm
Author :
Kreithen, Daniel E. ; Halversen, Shawn D.
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
Abstract :
The authors summarize the Lincoln Laboratory multistage target detection algorithm for high-resolution synthetic aperture radar (SAR) imagery. The second stage of the algorithm, called the discriminator, consists of a one-class quadratic discriminant computed from various target features. The output of this algorithm is a list of potential targets, which can be ranked according to their `targetness´ before being fed to the final classification algorithm. The ranking score can be used for prioritization in a real-time system. The authors theoretically analyze the ranking discrimination algorithm and compute performance examples using representative parameter values. The theoretical expressions can be used as a guide to help allocate computer resources in the design of a real-time, wide area search high resolution SAR system
Keywords :
signal detection; synthetic aperture radar; 35 GHz; Lincoln Laboratory; SAR imagery; high-resolution synthetic aperture radar; multistage target detection algorithm; one-class quadratic discriminant; ranking discrimination algorithm; target features; theoretical analysis; wide area search; Algorithm design and analysis; Clutter; Foot; Instruments; Laboratories; Object detection; Performance analysis; Real time systems; Resource management; Synthetic aperture radar;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269235
