Forecasting the View of Mt. Fuji Using Earth Observation Data

• KAKIMOTO Mitsuru

  R&D Center, Toshiba Corp.

• HATANO Hisaaki

  R&D Center, Toshiba Corp.

• NISHIZAWA Yosoko

  Design Center, Toshiba Corp.

抄録

In this paper, we present a forecasting method for the view of Mt. Fuji as an application of Earth observation data (EOD) obtained by satellites. We defined the Mt. Fuji viewing index (FVI) that characterises how well the mountain looks on a given day, based on photo data produced by a fixed-point observation. A long-term predictor of FVI, ranging from 0 to 30 days, was constructed through support vector machine regression on climate and earth observation data. It was found that the aerosol mass concentration (AMC) improves prediction performance, and such performance is particularly significant in the long-term range.

収録刊行物

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E92-D (8), 1551-1560, 2009

  一般社団法人 電子情報通信学会

キーワード

• earth observation data
• support vector machine regression
• singular value decomposition

詳細情報

• CRID: 1390001204380120832
• NII論文ID: 10026810526
• NII書誌ID: AA10826272
• DOI: 10.1587/transinf.e92.d.1551
• ISSN: 17451361
• ISSN: 09168532
• Web Site: http://www.jstage.jst.go.jp/article/transinf/E92.D/8/E92.D_8_1551/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可