Proceedings Paper
A comparison of target detection algorithms using DSIAC ATR algorithm development data set| Format | Member Price | Non-Member Price |
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Paper Abstract
In this paper, we present preliminary results of infra-red target detection using the well-known Faster R-CNN network using a publicly available MWIR data set released by NVESD. We characterize the difficulty level of the images in terms of pixels on target (POT) and the local contrast. We then evaluate the performance of the network under challenging conditions and when the number of training images are varied.
Paper Details
Date Published: 14 May 2019
PDF: 5 pages
Proc. SPIE 10988, Automatic Target Recognition XXIX, 1098808 (14 May 2019); doi: 10.1117/12.2517423
Published in SPIE Proceedings Vol. 10988:
Automatic Target Recognition XXIX
Riad I. Hammoud; Timothy L. Overman, Editor(s)
PDF: 5 pages
Proc. SPIE 10988, Automatic Target Recognition XXIX, 1098808 (14 May 2019); doi: 10.1117/12.2517423
Show Author Affiliations
Abhijit Mahalanobis, Univ. of Central Florida (United States)
Bruce McIntosh, Univ. of Central Florida (United States)
Published in SPIE Proceedings Vol. 10988:
Automatic Target Recognition XXIX
Riad I. Hammoud; Timothy L. Overman, Editor(s)
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