写真測量とリモートセンシング
Online ISSN : 1883-9061
Print ISSN : 0285-5844
50 巻 , 1 号
選択された号の論文の8件中1~8を表示しています
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原著論文
  • 柳 秀治, 近津 博文
    2011 年 50 巻 1 号 p. 4-17
    発行日: 2011/03/11
    公開日: 2012/03/01
    ジャーナル フリー
    Recently, pixel numbers and functions of digital cameras are amazingly increasing by modern semiconductor and digital technology, and there are many low-priced digital cameras which have more than 10 mega pixels on the market in Japan. In these circumstances, digital photogrammetry using digital cameras are enormously expected in various application fields.
    There is a large body of literature on the calibration of digital cameras and circle target detection, location. Target detection and location with subpixel accuracy had been investigated as a star tracker issue, and many centering algorithms have been carried out. It is widely accepted that the least squares modeling of ellipse fitting is the most accurate algorithm. However, there are still problems for efficient close range photogrammetry. These problems are reconfirmation for the target detection and location with subpixel accuracy based on real data which were taken indoors and an indicator for estimating the accuracy of normal close range photogrammetry using digital cameras.
    With this motive, the empirical testing of several algorithms for target detection and location with subpixel accuracy and an indicator for estimating the accuracy are investigated in this paper using real data which were taken indoors acquired 7 digital cameras which have 7.2 mega pixels to 14.7 mega pixels.
  • 伊藤 拓弥, 松英 恵吾, 執印 康裕, 内藤 健司
    2011 年 50 巻 1 号 p. 18-26
    発行日: 2011/03/11
    公開日: 2012/03/01
    ジャーナル フリー
    The purpose of this research is to estimate the individual stem volumes with small-footprint LiDAR (Light Detection And Ranging) data. The study area was a plantation of Sugi (Cryptomeria japonica D. Don) and Hinoki (Chamaecyparis obtusa Endl.) with plots of differing densities. We established the regression model to estimate individual stem volumes. Especially, we analyzed the effect of stand density to estimate stem volumes. As a result, the effect by stand density was not admitted both of Sugi and Hinoki. Therefore, we established the regression model to estimate individual stem volumes that does not depend on stand density. Then, we were able to estimate individual stem volumes for Sugi and Hinoki. The cause of the error for stem volumes was presumption accuracy of the tree crown surface area.
研究速報
  • 洲濱 智幸
    2011 年 50 巻 1 号 p. 27-33
    発行日: 2011/03/11
    公開日: 2012/03/01
    ジャーナル フリー
    Hyperspectral sensor is able to collect information as a set of images in high spectral resolution. It has begun to spread into the field of not only earth resources but also agriculture and environmental surveillance. However, the ground surface resolution of the hyperspectral sensor is not enough in Japan. It is necessary to improve the ground surface resolution so that the hyperspectral sensor comes to wider use.
    The Wiener filter is able to provide the best restored signal with respect to the square error averaged over the original signal and the noise among linear operators from the observed signal. It is used for many inversion problems. In this paper, we studied the hyperspectrum generation method from the multispectral data based on the Wiener filter. We showed the experimental result that the generated hyperspectrum by using the Wiener filter was corresponding to the original spectrum well.
  • 浅沼 亜希菜, 豊田 裕道, 島田 沢彦, 浅沼 市男
    2011 年 50 巻 1 号 p. 34-39
    発行日: 2011/03/11
    公開日: 2012/03/01
    ジャーナル フリー
    本研究では,稲作圃場における正規化植生指数(NDVI)と葉緑素計値(以下,SPAD値)の計測値が,稲の生長に対して異なる応答を示したことから,両者の特性を組み合わせた新しい指数を提案し,米粒タンパク質含有率の推定の可能性を検討した。
    福島県喜多方市加納熱塩地域の水稲コシヒカリの減農薬・有機栽培の圃場を研究対象とし,分光放射計を用いて計測した値からNDVIを求めるとともに,葉緑素計(SPAD-502)を用いてSPAD値を測定し,NDVIとSPAD値の時間変化を追跡した。また,米粒タンパク質含有率は,近赤外透過連続波長方式の米粒食味計を用いて測定した。NDVIとSPAD値の時間変化から,出穂期から登熟期までの2変数の変化量を指数化したNDVI・SPAD値変動指数(Variation index between NDVI and Chlorophyll content(VNC index))を求めた。ここで提案したVNC指数と米粒タンパク質含有率と相関性を検討したところ,両者の間に正の相関が認められた。
    本研究により,出穂期から稲の葉の状態をモニターしながら,NDVIとSPAD値の特性を合わせた米粒タンパク質含有率の推定の可能性が示された。
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