DocumentCode :
2493731
Title :
Image fusion for human observers: How should we choose the method?
Author :
Loew, M. ; Bonick, J. ; Walters, C.
Author_Institution :
Night Vision & Electron. Sensors Directorate, US Army RDECOM CERDEC, Fort Belvoir, VA, USA
fYear :
2010
fDate :
26-29 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
Image fusion is used to improve target detection and identification. In human-observer applications it is useful to rank fusion methods according to how well they assist the observer in a decision task. Two images (medium- and long-wave infrared), acquired for each of a number of outdoor scenes, were fused by each of nine methods. For each scene, a set of observers assessed each of the 36 pairwise combinations of fused images, choosing from each pair the one that was deemed best for target identification. We used that set of preferences to rank the fusion methods for their effectiveness in the identification task. A classical technique for ranking these “discriminal processes” is Thurstone´s Law of Comparative Judgment and its implementation as the Thurstone-Mosteller (TM) Method of Paired Comparisons, which is reviewed briefly here. To make meaningful statements about preferences, one should have a measure of uncertainty for each rank. The TM method, however, cannot readily provide such a measure. An alternative, the Bradley-Terry (BT) method, does permit calculation of confidence intervals for ranks. To our knowledge, BT has not previously been applied in the evaluation of fusion methods. We present results from a multi-observer, multi-view trial, evaluated using TM and BT. The methods yield similar rankings of the fusion methods. But the additional information provided by BT - that is, whether there are significant differences between the ranks - can have a substantial impact on the implementation of fusion in real systems. There could be meaningful tradeoffs among fusion methods - e.g., performance vs. computation time - that may not be exploited in the absence of those insights.
Keywords :
image fusion; infrared imaging; object detection; Bradley-Terry method; Thurstone´s law of comparative judgment; Thurstone-Mosteller method of paired comparisons; human observers; image fusion; long-wave infrared images; medium-wave infrared images; outdoor scenes; target detection; target identification; Humans; Image fusion; Image resolution; Night vision; Observers; Sensors; Silicon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2010 13th Conference on
Conference_Location :
Edinburgh
Print_ISBN :
978-0-9824438-1-1
Type :
conf
DOI :
10.1109/ICIF.2010.5711838
Filename :
5711838
Link To Document :
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