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Full-learning quaternion convolutional neural networks and cross-entropy-based confluence of differently represented data for PolSAR land classification

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posted on 06.12.2021, 19:25 authored by Yuya MatsumotoYuya Matsumoto
ALOS2 Dataset1
Odi_SceneId="SARD000000088012-00036-019-001"
Odi_SiteDateTime="PROCESS:JAPAN-JAXA-ALOS2-EICS 20151207 072121"
Scs_SceneID="ALOS2066310850-150815"

ALOS2 Dataset2
Odi_SceneId="SARD000000088012-00036-044-002"
Odi_SiteDateTime="PROCESS:JAPAN-JAXA-ALOS2-EICS 20210113 054828"
Scs_SceneID="ALOS2066310860-150815"

Funding

KAKENHI

RIEC

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Email Address of Submitting Author

matsumoto@eis.t.u-tokyo.ac.jp

Submitting Author's Institution

University of Tokyo

Submitting Author's Country

Japan

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