A comparison of target detection algorithms using DSIAC ATR algorithm development data set

被引：8
|
作者：
Mahalanobis, Abhijit [1 ]
McIntosh, Bruce [1 ]
机构：
[1] Univ Cent Florida, 4000 Cent Florida Blvd, Orlando, FL 32816 USA
来源：
AUTOMATIC TARGET RECOGNITION XXIX | 2019年 / 10988卷
关键词：
ATR; deep learning; classification; convolutional neural network; localization;
D O I：
10.1117/12.2517423
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
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页数：5
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