日本地球惑星科学連合2024年大会

講演情報

[J] 口頭発表

セッション記号 U (ユニオン) » ユニオン

[U-12] 人工知能が拓く地球惑星科学の将来

2024年5月26日(日) 10:45 〜 12:15 展示場特設会場 (2) (幕張メッセ国際展示場 6ホール)

コンビーナ:長尾 大道(東京大学地震研究所)、高橋 幸弘(北海道大学・大学院理学院・宇宙理学専攻)、飯田 佑輔(新潟大学)、中野 満寿男(海洋研究開発機構)、座長:長尾 大道(東京大学地震研究所)、飯田 佑輔(新潟大学)、中野 満寿男(海洋研究開発機構)、加納 将行(東北大学理学研究科)


10:45 〜 11:15

[U12-01] Beyond the Horizon: Advancing Earth Observation with Deep Learning

★Invited Papers

*横矢 直人1 (1.東京大学)

キーワード:地球観測、深層学習、画像処理

Deep learning has brought significant innovation to the analysis of Earth observation data. It not only improves the accuracy of analysis results for existing tasks but also realizes tasks that were previously difficult with existing technologies through generative models. On the other hand, there are many tasks in Earth observation where it is difficult to collect sufficient training data on a large scale. In this talk, we will introduce recent efforts to address the lack of training data in the understanding and acquisition of Earth observation images. In particular, we will present deep learning techniques that serve as the basis for intelligent information processing, such as automatic extraction of land cover maps, digital elevation models, and their changes from Earth observation data, and computational imaging that overcomes the limitations of spatial, temporal, and spectral resolutions of imaging systems.