遥感影像空间格局变异函数分析研究进展

发布时间：2018-02-14 21:00

本文关键词： 变异函数遥感影像地表格局特征空间尺度纹理分类　出处：《地球信息科学学报》2017年04期 　论文类型：期刊论文

【摘要】：随着多光谱传感器的广泛运用,利用地物光谱响应特征提取地表信息的技术日益成熟,但是由于地表状况的复杂性和光谱响应的局限性,光谱方法在指示平均大小、空间异向性、空间分布、空间异质性等格局信息方面存在不足,因此挖掘遥感影像的空间格局特征日益受到研究者的重视。已有研究发现,变异参数与地表场景参数存在一定的对应关系,通过变异参数可以实现地表场景参数的提取,因此变异函数分析方法被广泛应用于真实遥感影像格局分析中,具体包括平均尺度提取、周期性格局探测、空间异质性表征与空间异向性描述等地表格局参数量化方面、最佳尺度选择与影像纹理分析等遥感影像信息提取方面。尽管变异函数分析方法在上述应用领域中都发挥了重要作用,但是当前利用变异函数进行遥感影像空间格局分析大多局限于定性描述层面,缺乏精确化的量化描述与分析,限制了变异函数分析方法应用的进一步拓展,究其原因在于对遥感影像格局变异函数分析的内在机制缺乏深入了解。本文回顾了近20年来变异函数分析方法在遥感格局分析领域的主要应用,并对该方法本身的优势和存在的不足进行了总结,可为变异函数这一工具在遥感影像格局分析方面的有效应用提供参考。
[Abstract]:With the wide application of multispectral sensors, the technology of extracting surface information by using the spectral response features of ground objects is becoming more and more mature. However, due to the complexity of the surface conditions and the limitation of the spectral response, the spectral method indicates the average size. Spatial heterogeneity, spatial distribution, spatial heterogeneity and other spatial pattern information are not enough, so researchers pay more and more attention to mining spatial pattern characteristics of remote sensing images. There is a certain correspondence between the variation parameters and the surface scene parameters, and the extraction of the surface scene parameters can be realized by the variation parameters. Therefore, the variation function analysis method is widely used in the pattern analysis of real remote sensing images. It includes average scale extraction, periodic pattern detection, spatial heterogeneity characterization and spatial heterogeneity description, and so on. Selection of optimal scales and texture analysis of remote sensing images. Although variogram analysis plays an important role in these applications, However, at present, the spatial pattern analysis of remote sensing images based on variation function is limited to qualitative description, and it lacks of accurate quantitative description and analysis, which limits the further development of the application of variation function analysis method. The reason lies in the lack of in-depth understanding of the inherent mechanism of pattern variation function analysis in remote sensing images. This paper reviews the main applications of variation function analysis methods in the field of remote sensing pattern analysis in recent 20 years. The advantages and disadvantages of the method are summarized, which can provide a reference for the effective application of this tool in the pattern analysis of remote sensing images.
【作者单位】：中国科学院东北地理与农业生态研究所;中国科学院大学;
【基金】：国家重点研发计划项目(2016YFC0500204)
【分类号】：P237

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