IPIU 2016 (제28회 영상처리 및 이해에 관한 워크샵)
Current Result Document :
| 한글제목(Korean Title) |
LWIR Identifier Classification using Convolutional Neural Network |
| 영문제목(English Title) |
LWIR Identifier Classification using Convolutional Neural Network |
| 저자(Author) |
Kang Ho Shin
Woo Jin Jeong
Young Shik Moon
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| 원문수록처(Citation) |
VOL 28 NO. 01 PP. P2 ~ 0043 (2016. 02) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Combat Identification aims to distinguish friends against foes in combat environment. Utilizing special symbolic identifiers and imagers, automatic identification of combat assets can assist quick and robust decision making. Especially in longwave infrared (LWIR) band, improved covertness can be expected as the need of luminance diminishes. We have classified, using a CNN, identifiers extracted from LWIR videos. Gaussian noise addition and contrast stretching improved the classifier’s generalization performance and classification accuracy. The proposed method showed 76% accuracy. Especially in challenging conditions, caused by ambient lighting distorting the identifiers, the proposed method still performed with 64% accuracy. |
| 키워드(Keyword) |
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| 파일첨부 |
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