写真測量とリモートセンシング
Online ISSN : 1883-9061
Print ISSN : 0285-5844
最新号
選択された号の論文の15件中1~15を表示しています
巻頭言
小特集 カメラアイ小特集「平成29年7月九州北部豪雨災害」
原著論文
  • 横山 大, 近津 博文
    2017 年 56 巻 4 号 p. 122-132
    発行日: 2017年
    公開日: 2018/09/01
    ジャーナル フリー

    The contractor (including the planner) of a plant maintenance site has to grasp the latest on-site situation before planning maintenance work. This information is necessary to create a draft operational plan and various drawings. To enable this understanding, measurements are conducted using local or convex viewing equipment. In addition, drawings are revised based on the measurement results. As 3D equipment such as total station (TS) or terrestrial laser scanners (TLS) has become more affordable, the use of metering equipment can be considered. A plant maintenance site includes many reference points (e.g., piping and piping support materials, and electric wire cables). Therefore, the TLS cannot be used at all locations. This results in blind spots in the measurement process. In that case, the TLS is moved to another on-site location. Thus, because it may be difficult to identify TLS settings in some cases, the introduction of different measurement procedures is important. Digital photogrammetry with Structure from Motion (SfM) is also expected to be introduced along with TLS. In such cases, it is necessary to use an effective alignment method with point cloud data relevant to the plant maintenance site. This paper presents a new alignment method, which considers the circumstances to a plant maintenance site.

研究速報
  • 平岡 透, 野中 尋史, 熊野 稔
    2017 年 56 巻 4 号 p. 133-136
    発行日: 2017年
    公開日: 2018/09/01
    ジャーナル フリー

    We believe that Mitinoekis will help regional revitalization to be realized as regional bases and entrances. In this letter, in order to understand current situation analysis, we estimate the number of local residents who use Mitinoekis in regional areas. For the purpose, we classify Mitinoekis in rural village, underpopulated area and other ereas, calculate the ratio of the number of users to the traffic volume of Mitinoekis (stop-by rate) in each area, and examin the importance of Mitinoekis in rural village and underpopulated area. In addition, we investigate the presence of hospitals and clinics around Mitinoekis in rural village and underpopulated area, and examine how it affects the stop-by rate to Mitinoekis. In this study, we pick up 128 Mitinoekis in Kyushu.

  • Anudari BATSAIKHAN, Sarah ASAM, Doris KLEIN, Christopher CONRAD
    2017 年 56 巻 4 号 p. 137-142
    発行日: 2017年
    公開日: 2018/09/01
    ジャーナル フリー

    本研究ではウェブカメラから得られた時系列画像を活用し,ヨーロッパのアルプス山脈における草地の緑化時期を研究した。土地条件の緑化時期への影響を調べるため,八つの対象地域は標高(832-2338m),斜面と土地利用(放牧,放牧と草刈り)が異なる。Greenness Indexをカメラの時系列画像から計算,それにスプライン曲線をあてはめることにより滑らかな時系列データを形成し,そしてその一次導関数を用いて緑化時期を推定した。結果,草地の緑化時期は標高から大きく影響を受けており,また土地利用の影響が考えられた。さらに2015年には緑化時期の移行が見られたが,その年の気温が特に高かったことから影響されたと考えられ,今後の研究が必要とされる。

  • 山谷 祐貴, 谷 宏, 王 秀峰, 薗部 礼, 小林 伸行, 望月 貫一郎, 野田 萌
    2017 年 56 巻 4 号 p. 143-148
    発行日: 2017年
    公開日: 2018/09/01
    ジャーナル フリー

    This paper presents crop classification using satellite data to establish a mapping method to replace the existing ground survey. We used five scenes of C-band fully polarimetric SAR satellite Radarsat-2 data. Datasets of sigma naught and four polarimetric parameters, Freeman-Durden (FD), Van Zyl (VZ), Yamaguchi (YG), and Cloude-Pottier (CP), were calculated from each image data. We assessed the accuracy of the classification obtained by the random forest machine learning algorithm. Three results are shown. First, the highest accuracy using only one of the five datasets (0.918) was obtained by the VZ parameter dataset. Second, using three datasets, the combination of the sigma naught, VZ parameter, and CP parameter datasets obtained the highest accuracy (0.922). Third, when we used all five datasets, the accuracy (0.918) was not improved. These results confirm that crop classification using Radarsat-2 C-band data is very effective and the use of a combination of sigma naught, VZ parameters, and CP parameters obtained the highest accuracy.

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