STUDY ON CORRECTION FACTOR FOR WATER SURFACE REFRACTION IN UNDERWATER PHOTOGRAMMETRY USING UAV AND SFM-MVS

• KANNO Ariyo

  山口大学

• YONEHARA Chie

  山口大学

• I GD Yudha Partama

  山口大学

• KOMURO Takashi

  山口大学

• INUI Ryutei

  山口大学

• GOTO Masuji

  山口大学

• AKAMATSU Yoshihisa

  山口大学

Bibliographic Information

Other Title

• UAVとSfM-MVSを用いた河床冠水部の写真測量のための水面屈折補正係数に関する検討
• UAV ト SfM MVS オ モチイタ カショウ カンスイブ ノ シャシン ソクリョウ ノ タメノ スイメン クッセツ ホセイ ケイスウ ニ カンスル ケントウ

Abstract

Photogrammetry of shallow water bottoms by UAV and SfM-MVS technology is attracting attention for its low cost and efficiency. One of the problems of this technique is the underestimation of water depth due to the refraction of light at the water surface. The issue is usually addressed by multiplying the apparent depth of water by a constant called refraction correction factor. Conventionally, 1.34 (relative refractive index of air and water) is used as the factor, but it is geometrically too small. In this study, we investigated the optimum refraction correction factor through 20 simulations by using a popular MVS software and 7 field experiments. The optimum values obtained in the field experiments was highly variable, although our simulation indicated that a single value is generally applicable.

Journal

• Advances in River Engineering

  Advances in River Engineering 24 (0), 19-24, 2018

  Japan Society of Civil Engineers

Keywords

• shallow water bottom
• refraction correction factor
• Multi-View Stereo

Details

• CRID: 1390854717750535424
• NII Article ID: 120007163189
• DOI: 10.11532/river.24.0_19
• ISSN: 24366714
• Web Site: https://petit.lib.yamaguchi-u.ac.jp/28678
• Text Lang: ja
• Data Source:
  • JaLC
  • IRDB
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Allowed