@inproceedings{298793fb10d14bca85da45adf2f71424,
title = "A comparison of target detection algorithms using dsiac atr algorithm development data set",
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.",
keywords = "ATR, Classification, Convolutional neural network, Deep learning, Localization",
author = "Abhijit Mahalanobis and Bruce McIntosh",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Automatic Target Recognition XXIX 2019 ; Conference date: 15-04-2019 Through 18-04-2019",
year = "2019",
doi = "10.1117/12.2517423",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Hammoud, \{Riad I.\} and Overman, \{Timothy L.\}",
booktitle = "Automatic Target Recognition XXIX",
}