Semantic Segmentation in Red Relief Image Map by UX-Net

Tomoya Komiyama; Kazuhiro Hotta; Kazuo Oda; Satomi Kakuta; Mikako Sano

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Paper

Semantic Segmentation in Red Relief Image Map by UX-Net

Topics: Classification; Deep Learning

In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, 597-602, 2018 , Funchal, Madeira, Portugal

Authors: Tomoya Komiyama ¹ ; Kazuhiro Hotta ¹ ; Kazuo Oda ² ; Satomi Kakuta ² and Mikako Sano ²

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

Keyword(s): Semantic Segmentation, Red Relief Image Map, U-Net, UX-Net.

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

Abstract: This paper proposes a semantic segmentation method in Red Relief Image Map which a kind of aerial laser image. We modify the U-Net by adding the paths between convolutional layer and deconvolutional layer with different resolution. By using the feature maps obtained at different layers, the segmentation accuracy is improved. We compare the segmentation accuracy of the proposed UX-Net with the original U-net. Our proposed method improved class-average accuracy in comparison with the U-Net.

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Paper citation in several formats:

Komiyama, T.; Hotta, K.; Oda, K.; Kakuta, S. and Sano, M. (2018). Semantic Segmentation in Red Relief Image Map by UX-Net. 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 597-602. DOI: 10.5220/0006716805970602

@conference{icpram18,
author={Tomoya Komiyama. and Kazuhiro Hotta. and Kazuo Oda. and Satomi Kakuta. and Mikako Sano.},
title={Semantic Segmentation in Red Relief Image Map by UX-Net},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2018},
pages={597-602},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006716805970602},
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 - Semantic Segmentation in Red Relief Image Map by UX-Net
SN - 978-989-758-276-9
IS - 2184-4313
AU - Komiyama, T.
AU - Hotta, K.
AU - Oda, K.
AU - Kakuta, S.
AU - Sano, M.
PY - 2018
SP - 597
EP - 602
DO - 10.5220/0006716805970602
PB - SciTePress