本文關(guān)鍵詞： 變異函數(shù) 遙感影像 地表格局特征 空間尺度 紋理分類　出處：《地球信息科學(xué)學(xué)報(bào)》2017年04期 　論文類型：期刊論文

【摘要】：隨著多光譜傳感器的廣泛運(yùn)用,利用地物光譜響應(yīng)特征提取地表信息的技術(shù)日益成熟,但是由于地表狀況的復(fù)雜性和光譜響應(yīng)的局限性,光譜方法在指示平均大小、空間異向性、空間分布、空間異質(zhì)性等格局信息方面存在不足,因此挖掘遙感影像的空間格局特征日益受到研究者的重視。已有研究發(fā)現(xiàn),變異參數(shù)與地表場景參數(shù)存在一定的對(duì)應(yīng)關(guān)系,通過變異參數(shù)可以實(shí)現(xiàn)地表場景參數(shù)的提取,因此變異函數(shù)分析方法被廣泛應(yīng)用于真實(shí)遙感影像格局分析中,具體包括平均尺度提取、周期性格局探測、空間異質(zhì)性表征與空間異向性描述等地表格局參數(shù)量化方面、最佳尺度選擇與影像紋理分析等遙感影像信息提取方面。盡管變異函數(shù)分析方法在上述應(yīng)用領(lǐng)域中都發(fā)揮了重要作用,但是當(dāng)前利用變異函數(shù)進(jìn)行遙感影像空間格局分析大多局限于定性描述層面,缺乏精確化的量化描述與分析,限制了變異函數(shù)分析方法應(yīng)用的進(jìn)一步拓展,究其原因在于對(duì)遙感影像格局變異函數(shù)分析的內(nèi)在機(jī)制缺乏深入了解。本文回顧了近20年來變異函數(shù)分析方法在遙感格局分析領(lǐng)域的主要應(yīng)用,并對(duì)該方法本身的優(yōu)勢和存在的不足進(jìn)行了總結(jié),可為變異函數(shù)這一工具在遙感影像格局分析方面的有效應(yīng)用提供參考。
[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.
【作者單位】： 中國科學(xué)院東北地理與農(nóng)業(yè)生態(tài)研究所;中國科學(xué)院大學(xué);
【基金】：國家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2016YFC0500204)
【分類號(hào)】：P237

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