Automatic Target Recognition User Interface Tool (Paperback) (ISBN-13: 9781249593959)

A computer tool to aid in selecting the best Automatic Target Recognition (ATR) algorithm is developed. The program considers many quantifiers, accepts user-defined parameters, allows for changes in the operational environment and presents results in a meaningful way. It is written for Microsoft Excel. An ATR algorithm assigns a class label to a recognized target. General designations can include "Friend" and "Foe." The error of designating "Friend" as "Foe" as well as "Foe" as "Friend" comes with a high cost. Studying each algorithm's error can minimize this cost. Receiver Operating Characteristic (ROC) curves provide only information on the probabilities given a system state of declaring up to three class labels: "True," "False" or "Unknown." Other quantifiers, including an alternate ROC curve, are developed in this study to provide information on the probability of a system state given any of multiple declarations, which is more useful to the user. Sensitivity to prior probabilities, suggestions for user-defined parameters and areas for future research are identified as the User Interface Tool is described in detail in this thesis.

Author: David A. Kerns
ISBN-10: 1249593956
ISBN-13: 9781249593959
Publisher: Biblioscholar
Language: English
Published: 10/09/2012
Pages: 154
Format: Paperback
Weight: 0.63lbs
Size: 9.69h x 7.44w x 0.33d