Výsledky vyhledávání - "Imaizumi, Tomoyuki"

Report

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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The Autonomous System Architecture of the Small SAR Satellite Operation System and On-Orbit Autonomous Operation Experiences

Autor: Obata, Toshihiro, Arai, Motoyuki, Asada, Shoichiro, Imaizumi, Tomoyuki, Suzuki, Yutaka

Publikováno v: Small Satellite Conference

We are developing a small SAR (Synthetic Aperture Radar) satellite for our commercial solution business. Our goal is to deploy at least 30 small SAR satellites in orbit and enable frequent and persistent observations until the Mid 2020s. We launched

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1459::2c8868ed57f591ef97a1c244dc98ee21
https://digitalcommons.usu.edu/smallsat/2021/all2021/215

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The Latest Status of Our First Demonstration Satellite of the Commercial Small Synthetic Aperture Radar After the Launch

Autor: Shoichiro Asada, Yutaka Suzuki, Imaizumi Tomoyuki, Toshihiro Obata, Motoyuki Arai

Publikováno v: IGARSS

The demand for SAR - Synthetic Aperture Radar satellites that can observe a target area through clouds and during nighttime - is emerging, particularly in Asia, where frequent cloud cover inhibits the satellite monitoring capabilities of optical sens

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d5ba2fa86c67566ca0e7b13fcbf972a6
https://doi.org/10.1109/igarss47720.2021.9553071