Výsledky vyhledávání - "Hikosaka, Shuhei"

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Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery

Autor: Hamaguchi, Ryuhei, Fujita, Aito, Nemoto, Keisuke, Imaizumi, Tomoyuki, Hikosaka, Shuhei

Thanks to recent advances in CNNs, solid improvements have been made in semantic segmentation of high resolution remote sensing imagery. However, most of the previous works have not fully taken into account the specific difficulties that exist in rem

Externí odkaz: http://arxiv.org/abs/1709.00179

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Akademický článek

Image-to-Image Subpixel Registration Based on Template Matching of Road Network Extracted by Deep Learning.

Autor: Hikosaka, Shuhei¹ (AUTHOR), Tonooka, Hideyuki¹ (AUTHOR) hideyuki.tonooka.dr@vc.ibaraki.ac.jp

Publikováno v: Remote Sensing. Nov2022, Vol. 14 Issue 21, p5360. 26p.

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Damaged Building Recognition Using Deep Learning with Photos Taken after the Kobe Earthquake

Autor: Matsuoka, Masashi, Ishii, Yuu, Maki, Norio, Horie, Kei, Tanaka, Satoshi, Nakamura, Ryosuke, Hikosaka, Shuhei, Imaizumi, Tomoyuki, Fujita, Aito, Ito, Riho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::f8fbeb7eaa6febc55e809b79592e543e
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100819107

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Akademický článek

CNN-based generation of high-accuracy urban distribution maps utilising SAR satellite imagery for short-term change monitoring.

Autor: Iino, Shota, Ito, Riho, Doi, Kento, Imaizumi, Tomoyuki, Hikosaka, Shuhei

Publikováno v: International Journal of Image & Data Fusion; Dec2018, Vol. 9 Issue 4, p302-318, 17p

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Advanced EO System for the Japanese Small Satellite ASNARO

Autor: Hikosaka, Shuhei, Fukunaga, Tetsuo, Ogawa, Toshiaki, Mihara, Shoichiro

Publikováno v: AIAA/USU Conference on Small Satellites

There are growing demands for the earth observation satellite system also from the newly developing countries. Inorder to meet these demands, the Ministry of Economy, Trade and Industry (METI), is promoting ASNARO projectand the Japanese first small

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1459::b3cc1318e4ecfdd282bebec6ec57fda3
http://digitalcommons.usu.edu/smallsat/2011/all2011/32

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Periodical

Building change detection via a combination of CNNs using only RGB aerial imageries

Autor: Erbertseder, Thilo, Chrysoulakis, Nektarios, Zhang, Ying, Heldens, Wieke, Nemoto, Keisuke, Hamaguchi, Ryuhei, Sato, Masakazu, Fujita, Aito, Imaizumi, Tomoyuki, Hikosaka, Shuhei

Publikováno v: Proceedings of SPIE; October 2017, Vol. 10431 Issue: 1 p104310J-104310J-12, 10326703p

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Periodical

Generating high-accuracy urban distribution map for short-term change monitoring based on convolutional neural network by utilizing SAR imagery

Autor: Michel, Ulrich, Schulz, Karsten, Iino, Shota, Ito, Riho, Doi, Kento, Imaizumi, Tomoyuki, Hikosaka, Shuhei

Publikováno v: Proceedings of SPIE; October 2017, Vol. 10428 Issue: 1 p1042803-1042803-11

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