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Authors: Ryosuke Kamiya 1 ; Kazuhiro Hotta 1 ; Kazuo Oda 2 and Satomi Kakuta 2

Affiliations: 1 Meijo University, Japan ; 2 Asia Air Survey co. andltd, Japan

Keyword(s): Road Detection, U-Net, Difference of Feature.

Related Ontology Subjects/Areas/Topics: Classification ; Pattern Recognition ; Theory and Methods

Abstract: In this paper, we propose a road detection method from satellite images by improving the U-Net using the difference of feature maps. U-Net has connections between convolutional layers and deconvolutional layers and concatenates feature maps at convolutional layer with those at deconvolutional layer. Here we introduce the difference of feature maps instead of the concatenation of feature maps. We evaluate our proposed method on road detection problem. Our proposed method obtained significant improvements in comparison with the U-Net.

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Paper citation in several formats:
Kamiya, R.; Hotta, K.; Oda, K. and Kakuta, S. (2018). Road Detection from Satellite Images by Improving U-Net with Difference of Features. In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-276-9; ISSN 2184-4313, SciTePress, pages 603-607. DOI: 10.5220/0006717506030607

@conference{icpram18,
author={Ryosuke Kamiya. and Kazuhiro Hotta. and Kazuo Oda. and Satomi Kakuta.},
title={Road Detection from Satellite Images by Improving U-Net with Difference of Features},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2018},
pages={603-607},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006717506030607},
isbn={978-989-758-276-9},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Road Detection from Satellite Images by Improving U-Net with Difference of Features
SN - 978-989-758-276-9
IS - 2184-4313
AU - Kamiya, R.
AU - Hotta, K.
AU - Oda, K.
AU - Kakuta, S.
PY - 2018
SP - 603
EP - 607
DO - 10.5220/0006717506030607
PB - SciTePress