Mirage: a visible signature evaluation tool

Joanne B. Culpepper; Alaster J. Meehan; Q. T. Shao; Noel Richards

doi:10.1117/12.2277555

5 October 2017 Mirage: a visible signature evaluation tool

Joanne B. Culpepper, Alaster J. Meehan, Q. T. Shao, Noel Richards

Proceedings Volume 10432, Target and Background Signatures III; 104320G (2017) https://doi.org/10.1117/12.2277555
Event: SPIE Security + Defence, 2017, Warsaw, Poland

Abstract

This paper presents the Mirage visible signature evaluation tool, designed to provide a visible signature evaluation capability that will appropriately reflect the effect of scene content on the detectability of targets, providing a capability to assess visible signatures in the context of the environment. Mirage is based on a parametric evaluation of input images, assessing the value of a range of image metrics and combining them using the boosted decision tree machine learning method to produce target detectability estimates. It has been developed using experimental data from photosimulation experiments, where human observers search for vehicle targets in a variety of digital images. The images used for tool development are synthetic (computer generated) images, showing vehicles in many different scenes and exhibiting a wide variation in scene content. A preliminary validation has been performed using k-fold cross validation, where 90% of the image data set was used for training and 10% of the image data set was used for testing. The results of the k-fold validation from 200 independent tests show a prediction accuracy between Mirage predictions of detection probability and observed probability of detection of r(262) = 0:63, p < 0:0001 (Pearson correlation) and a MAE = 0:21 (mean absolute error).

Citation Download Citation

Joanne B. Culpepper, Alaster J. Meehan, Q. T. Shao, and Noel Richards "Mirage: a visible signature evaluation tool", Proc. SPIE 10432, Target and Background Signatures III, 104320G (5 October 2017); https://doi.org/10.1117/12.2277555

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
20 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Target detection

Modeling

Machine learning

Camouflage

Environmental sensing

Photography

Probability theory

Show All Keywords

Keywords/Phrases

Search In:

Publication Years