{"id":236073,"updated":"2025-01-19T09:24:21.183705+00:00","links":{},"created":"2025-01-19T01:37:55.621494+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236073","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236073","title":["雲画像からの降雨強度予測の為のデータセット構築と分類モデル作成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"9b238af4-c359-4cc5-aaa7-f72546b0a170"},"_deposit":{"id":"236073","pid":{"type":"depid","value":"236073","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"雲画像からの降雨強度予測の為のデータセット構築と分類モデル作成","author_link":["645156","645155","645154","645157"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"雲画像からの降雨強度予測の為のデータセット構築と分類モデル作成"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"琉球大"},{"subitem_text_value":"琉球大"},{"subitem_text_value":"株式会社ウェザーニューズ"},{"subitem_text_value":"琉球大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/236073/files/IPSJ-Z86-1S-07.pdf","label":"IPSJ-Z86-1S-07.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-1S-07.pdf","filesize":[{"value":"2.1 MB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"d283af47-25d8-4a99-bc3f-cfd7a2cf6596","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"矢野, 耕太郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"末光, 航大"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐藤, 俊輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"遠藤, 聡志"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"カメラ画像に降雨強度を付与し降雨強度予測や後の予測を行う事で、分解能の高い降雨情報を報告する事が期待出来る。本研究では定点カメラから取得した画像に対して、気象庁とウェザーニューズのレーダ雨量計を用いた観測結果を正解ラベルとした雲の画像データセットを構築した。さらに、撮影時点より時間が経過した時の降水量を予測する為の前段階として、撮影時点における画像内の雲の降雨強度の分類を行う。EfficientNetを用いた回帰モデルの予測精度が低く、分類問題として降雨強度レベルを求めた。多値分類のみと降雨の有無を先に挟んだ二つの方法についてAlexNetとEfficientNetを用いて精度比較を行なった。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"470","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"469","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}