写真測量とリモートセンシング
Online ISSN : 1883-9061
Print ISSN : 0285-5844
ISSN-L : 0285-5844
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選択された号の論文の15件中1~15を表示しています
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小特集「平成30年の災害」
原著論文
  • 三浦 高史, 森山 雅雄
    2018 年 57 巻 6 号 p. 277-288
    発行日: 2018年
    公開日: 2020/01/01
    ジャーナル フリー

    We propose a fire radiative power (FRP) estimation algorithm which is adaptable to the Second-generation GLobal Imager (SGLI) sensor on board the GCOM-C satellite. This algorithm is based on the Stefan-Boltzmann's law to calculate FRP. In the Stefan-Boltzmann's law based FRP calculation, sub-pixel fire information is required ; fire temperature and its fractional area coverage in the observed fire pixel. In this study, a bi-spectral method is employed to retrieve sub-pixel fire information. Furthermore, “a stepwise estimation approach” is applied to estimate the sub-pixel fire information for a good FRP estimation. This approach estimates the fire area coverage at first using a regression formula which is expressed by the logistic function, and then estimates the fire temperature. The FRP calculated by our algorithm is evaluated by comparing with the MODIS fire product FRP. The correlation between our algorithm derived FRP and the MODIS FRP shows relatively high (0.70) with low bias error (0.42 [MW]).

  • 中川 雅史, 佐々木 公一, 松田 重雄, 伊東 弘人
    2018 年 57 巻 6 号 p. 289-297
    発行日: 2018年
    公開日: 2020/01/01
    ジャーナル フリー

    A 3D measurement, such as a terrestrial laser scanning, is applied for an advanced infrastructure management and Building Information Modeling (BIM). Although a terrestrial laser scanning can acquire massive point cloud data for the BIM, 3D measurement using high precision LiDAR is affected by slab-vending with active loading, such as vehicle movements on a bridge. Thus, stripy noises occur in acquired point clouds. Therefore, we proposed three methodologies, such as multiple data subtraction, plane estimation with Least Median of Squares (LMeds), and noise pattern estimation, to remove the stripy noises for precise 3D bridge modeling. Our three methodologies were verified using terrestrial LiDAR data taken under a road bridge. Through our experiments, we confirmed that our algorithms can automatically cancel the vending affect of bridge in laser scanning works.

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