Construction of a Database of Pi-SAR2 Observation Data by Calibration and Scattering Power Decomposition Using the ABCI
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Published:2023-02-02
Issue:3
Volume:15
Page:849
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ISSN:2072-4292
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Container-title:Remote Sensing
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language:en
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Short-container-title:Remote Sensing
Author:
Arima Yuya1ORCID, Moriyama Toshifumi2, Yamaguchi Yoshio3ORCID, Nakamura Ryosuke1, Tsutsumi Chiaki1, Kojima Shoichiro4
Affiliation:
1. Digital Architecture Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo 135-0064, Japan 2. School of Engineering, Nagasaki University, Nagasaki 852-8521, Japan 3. Faculty of Engineering, Niigata University, Niigata 950-2181, Japan 4. Radio Research Institute, National Institute of Information and Communications Technology (NICT), Koganei 184-8795, Japan
Abstract
Pi-SAR2 is an airborne polarimetric synthetic aperture radar operated by the National Institute of Information and Communications Technology. The polarimetric observation data of Pi-SAR2 are very valuable because of its high resolution, but it cannot be used effectively because the data are not well calibrated with respect to elevation. Therefore, we have calibrated the data according to the observation conditions. The Pi-SAR2 observation data are very large due to its high resolution and require sufficient computational resources to be calibrated. We utilized the AI Bridging Cloud Infrastructure (ABCI), constructed and operated by the National Institute of Advanced Industrial Science and Technology, to calculate them. This paper reports on the calibration, scattering power decomposition, and orthorectification of the Pi-SAR2 observation data using the ABCI.
Funder
New Energy and Industrial Technology Development Organization
Subject
General Earth and Planetary Sciences
Reference12 articles.
1. Nadai, A., Uratsuka, S., Umehara, T., Matsuoka, T., Kobayashi, T., and Satake, M. (2009, January 12–17). Development of X-band airborne polarimetric and interferometric SAR with sub-meter spatial resolution. Proceedings of the 2009 IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa. 2. Matsuoka, T., Umehara, T., Nadai, A., Kobayashi, T., Satake, M., and Uratsuka, S. (2009, January 12–17). Calibration of the high performance airborne SAR system (Pi-SAR2). Proceedings of the 2009 IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa. 3. Uemoto, J., Uratsuka, S., Umehara, T., Yamamoto, S., Taira, S., Satake, M., Kojima, S., Kobayashi, T., Satoh, M., and Kawasaki, K. (2011, January 24–29). Development of the onboard processor for Pi-SAR2. Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, Vancouver, BC, Canada. 4. (2022, December 05). ABCI AI Bridging Cloud Infrastructure. Available online: https://abci.ai/. 5. (2022, December 05). Geospatial Information Authority of Japan (GSI), Available online: https://www.gsi.go.jp/ENGLISH/index.html.
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1. Calibration of Pi-SAR2 Polarimetric Observation Data Using ABCI;2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS);2023-08-19
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