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Proceedings Paper

Detection Probability Of An Object Ranking System For An Imaging Missile Seeker
Author(s): Joel McWilliams
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Paper Abstract

A smart imaging sensor for a missile application is required not only to find objects of a certain class in the field of view, but also to choose one "best" object for further guidance. This paper describes an automatic object ranking system and derives the relations for the probability that the object ranked the highest is of the correct class. The ranking system consists of two phases. First, a screening phase locates several subimages that are approximately the right size and contrast. Second, a classifying and ranking phase measures several features about each subimage and ranks each subimage according to its probability of being a desired target or not. The detection analysis assumes that the image contains two classes of objects - the desired class, and another class which includes any other objects that the screener tends to pass. The screener always finds a fixed number of subimages, N, and order statistics are used to find the probability that k of the N are of the desired class. In the ranking phase, a likelihood ratio is calculated for each subimage using parameters learned from a volume of training imagery, and the subimages are ranked by likelihood ratio. The probability that the top-ranking object is of the correct class can be found, conditioned on the event that k of the N subimages are of the correct class. The performances of the two stages are then combined for the overall detection probability. The analyses allowed the number of subimages found by the screening phase, N, to be a parameter for investigation. It is shown that there is an optimum N for overall detection performance.

Paper Details

Date Published: 7 December 1981
PDF: 6 pages
Proc. SPIE 0292, Processing of Images and Data from Optical Sensors, (7 December 1981); doi: 10.1117/12.932840
Show Author Affiliations
Joel McWilliams, Texas Instruments (United States)


Published in SPIE Proceedings Vol. 0292:
Processing of Images and Data from Optical Sensors
William H. Carter, Editor(s)

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