高解像度衛星データから得られるテクスチャ情報とスギ本数密度との関係解析

DOI Web Site 被引用文献2件 参考文献35件

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タイトル別名
  • The relationship between the density of <I>Cryptomeria japonica</I> stands and texture statistics derived from very high resolution imagery
  • コウカイゾウド エイセイ データ カラ エラレル テクスチャ ジョウホウ ト スギ ホンスウ ミツド トノ カンケイ カイセキ シミュレーション オ モチイタ ケントウ
  • —The research using simulated very-high-resolution imagery—
  • ―シミュレーションを用いた検討―

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抄録

To detect non-thinned stands using very-high-resolution imagery, we assessed the relationship between the texture statistics derived from the gray level co-occurrence matrix (GLCM) and the density of Cryptomeria japonica stands. Because it was difficult to make the condition, like stand age and slope, consistent using real images and stands, simulated images were used. The results showed that each texture statistic had a unique pattern of variation, owing to stand density. Moreover, the amount of thinning affected the texture statistics. Because the values of the texture statistics varied according to the amount of it even if the stand density was the same, it was indicated that it was difficult to predict stand density using the texture derived from GLCM. Nevertheless, it should be possible to extract stands that have not been thinned using the texture statistics from very-high-resolution imagery, especially the homogeneity and the angular second moment.

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