Proceedings of the Korean Society of Broadcast Engineers Conference (한국방송∙미디어공학회:학술대회논문집)
- 2018.06a
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- Pages.185-187
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- 2018
Aircraft Detection on Panchromatic Imagery Based on Densely Connected Convolutional Network
- Wiratama, Wahyu (Kwangwoon University) ;
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Sim, Donggyu
(Kwangwoon University)
- Published : 2018.06.20
Abstract
This paper presents an aircraft detection on panchromatic image using densely connected convolutional network. This algorithm connects all preceding feature-maps to all subsequent layers. It is encouraged to reuse feature-maps and enhance feature-maps representation. This algorithm is driven to learn aircraft feature to detect aircraft objects on panchromatic imagery. Based on the experimental result, it can yield accuracy of 92%.
Keywords