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首页|期刊导航|南京林业大学学报(自然科学版)|林分结构多样性参数与纹理信息相关分析中最优窗口的确定

林分结构多样性参数与纹理信息相关分析中最优窗口的确定

王建军 孟京辉

南京林业大学学报(自然科学版)2017,Vol.41Issue(3):112-116,5.
南京林业大学学报(自然科学版)2017,Vol.41Issue(3):112-116,5.DOI:10.3969/j.issn.1000-2006.201603008

林分结构多样性参数与纹理信息相关分析中最优窗口的确定

Determining optimal window size based on correlation between texture information and stand structural diversity indices

王建军 1孟京辉1

作者信息

  • 1. 北京林业大学,省部共建森林培育与保护教育部重点实验室,北京100083
  • 折叠

摘要

Abstract

[Objective] Image textural features derived from optical remote sensing images have been widely used in forestry.Because window sizes can significantly influence the correlation between forest structural diversity and image textural features,in this study we attempted to determine the optimal window size based on the correlation coefficient for accurate estimation of forest structural diversity.[Method] We first calculated forest structural diversity indices for 68 national forest inventory plots in the Guangxi Zhuang Autonomous region.Secondly,based on the SPOT-5 panchromatic band,we extracted textural features using different window sizes (3×3,5×5,7×7,9×9,11×11,13×13 and 15×15).Finally,we performed Pearson correlation analysis between image textural features and forest structural diversity indices to determine the optimal window size.[Result]The results showed that the correlation between forest structural diversity indices and textural features,i.e.entropy,homogeneity,angular second matrixes,contrast,dissimilarity,variation and mean value,exhibited fewer significant differences in response to changes in window size.In contrast,the change rate of the correlation coefficient between DBH standard deviation and image correlation index was as high as 86%.[Conclusion] Consequently,we determined the optimal window size to be 11 × 11 pixels.

关键词

林分结构/纹理信息/结构多样性指数/窗口大小/SPOT5/广西

Key words

forest structure/texture information/structural diversity/window sizes/SPOT5/Guangxi

分类

农业科技

引用本文复制引用

王建军,孟京辉..林分结构多样性参数与纹理信息相关分析中最优窗口的确定[J].南京林业大学学报(自然科学版),2017,41(3):112-116,5.

基金项目

国家自然科学基金项目(31300532) (31300532)

南京林业大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1000-2006

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