画像処理手法を用いた自動観測による降雪粒子の同定について  その2 長岡で観測された降雪粒子と自動観測による検出手法の検証

書誌事項

タイトル別名
  • A method for automated identification of types of solid precipitation by image processing: Part 2 Verification of the method applied to a variety of solid precipitations observed at Nagaoka
  • ガゾウ ショリ シュホウ オ モチイタ ジドウ カンソク ニ ヨル コウセツ リュウシ ノ ドウテイ ニ ツイテ ソノ 2 ナガオカ デ カンソク サレタ コウセツ リュウシ ト ジドウ カンソク ニ ヨル ケンシュツ シュホウ ノ ケンショウ
  • Part 2 Verification of the method applied to a variety of solid precipitations observed at Nagaoka
  • その2 長岡で観測された降雪粒子と自動観測による検出手法の検証

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抄録

For continuous observation of snow particle types an automated falling snow acquisition system was constructed. In the system, images of solid precipitations, which fell into a space enclosed by fences for protection against the wind, were taken by a CCD video camera with high shutter speed (1/4000 sec) and were input into an image processor in the computer continuously. After image processing, numerical data of each particle were recorded, i.e. locations, both horizontal and vertical dimensions and contour data of cross section of the particles on the image etc. An algorithm for computing the fall speed of each particle from the images was also developed. Operating this system in the winters of 2002 and 2004, we simultaneously carried out detailed observations of snow particles with a microscope and observed various types of snow, i.e. various kinds of aggregates with different riming stages and different types of graupels. Comparing the detaied manned observations and numerical data obtained by the system, it is found that we can clarify the types of falling snow particles from the relationships between dimension and fall speed of snow particles reduced from numerical data. In this article we show how the types of particles can be detected by the system using many microscopic photographs of solid precipitation.

収録刊行物

  • 雪氷

    雪氷 66 (6), 647-659, 2004

    公益社団法人 日本雪氷学会

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