基于分形维数的放牧地秃斑特征提取方法及其应用

草业学报 ›› 2011, Vol. 20 ›› Issue (2): 156-162.

基于分形维数的放牧地秃斑特征提取方法及其应用

王钊齐,林慧龙^*

兰州大学草地农业科技学院甘肃省草原生态研究所,甘肃兰州 730020

收稿日期:2009-11-10 出版日期:2011-02-25 发布日期:2011-04-20
通讯作者: E-mail:linhuilong@lzu.edu.cn
作者简介:王钊齐(1985-),男,甘肃庆阳人,在读硕士。E-mail:wangzhj09@lzu.cn
基金资助:
国家自然科学基金重点项目(30730069)和中央高校基本科研业务费专项奖金(lzujbky-2010-8)资助。

Features and application of a rangeland detection algorithm based on fractal dimensions to detect characteristics of barren patch

WANG Zhao-qi, LIN Hui-long

College of Pastoral Agriculture Science and Technology, Lanzhou University, Gansu Grassland Ecological Research Institute, Lanzhou 730020,China

Received:2009-11-10 Online:2011-02-25 Published:2011-04-20

摘要/Abstract

摘要： 通过野外数码成像获得放牧地秃斑图像,运用地理信息系统软件(ArcView GIS 3.2a)计算其面积、周长,以此为基础计算放牧地秃斑的形状指数及分形维数。运用该方法对放牧地秃斑的特征进行了实地测量,结果显示退化高寒嵩草草甸上放牧地秃斑具有典型的分形特征,形状指数和分维数分别为1.8和1.1,在形状指数相对变化率<5%和分维数相对变化率<0.5%的条件下,退化高寒嵩草草甸上放牧地典型秃斑沿边界走向最少插入点数为120。此方法具有快速、准确测定的特征,具有良好的实用性和可操作性。该方法的引入给解释放牧地秃斑出现的一些复杂问题提供了全新的技术途径,或将成为放牧生态学研究的创新性研究方法。

Abstract: The area and circumference of barren patch in grazing grassland was calculated by GIS software (ArcView GIS 3.2a) using field digital imaging to measure the shape index and fractal dimensions of barren patches. This method showed that barren patches in grazing grassland of the degraded alpine meadows has typical fractal characteristics with shape index and fractal dimensions of 1.8 and 1.1 respectively. There were 120 least insert points following the typical barren patch boundary in degraded alpine grazing meadow and the relative shape index change rate was <5% while the relative fractal dimension change rate was <0.5%. The method gives fast, accurate measurement, fine practicability and maneuverability. It provides a new, inovative technique in grazing ecology to explain the complicated problem of barren patch appearance in grazing grassland.

中图分类号:

S812.8

王钊齐,林慧龙. 基于分形维数的放牧地秃斑特征提取方法及其应用[J]. 草业学报, 2011, 20(2): 156-162.

WANG Zhao-qi, LIN Hui-long. Features and application of a rangeland detection algorithm based on fractal dimensions to detect characteristics of barren patch[J]. Acta Prataculturae Sinica, 2011, 20(2): 156-162.

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