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?结合雷达影像纹理特征的作物叶面积指数估测

DOI: 10.6046/gtzyyg.2010.03.08, PP. 36-40

Keywords: 雷达成像,纹理,极化,叶面积指数(LAI)

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Abstract:

研究了结合雷达影像纹理特征进行作物叶面积指数(LAI)估测的可行性,分析了作物LAI与多极化雷达纹理特征的相关性。将ENVISATASAR影像6种纹理特征与实测玉米的LAI进行相关分析发现,HH极化影像的灰度共生矩阵纹理特征与玉米LAI的相关性较VV极化的高;HH极化影像的对比度、异质性,VV极化影像的偏度、均质性等纹理特征与实测LAI均有较大的相关性。分别对两种极化影像雷达波散射强度及纹理特征与实测LAI进行多元回归分析,发现HH极化方式的相关系数达到0.68、VV极化的为0.87。说明结合纹理特征的雷达估测作物LAI方法具有一定的可行性。?

References

[1]  [1]方秀琴,张万昌. 叶面积指数(LAI)的遥感定量方法综述[J]. 国土资源遥感,2003(3):58-62.
[2]  [2]Chen J M,Pavlic G,Brown L,et al. Derivation and Validation of Canada-wide Coarse-resolution Leaf Area Index Maps Using High-resolution Satellite Imagery and Ground Measurements[J].Remote Sensing of Environment,2001(8):165-184.
[3]  [12]Lopes A, Touzi R, Nezry E. Adaptive Dpeckle Filters and Scene Heterogeneity[J]. IEEE Transactions on Geoscience and Remote Sensing,1990,28(6):992-1000.
[4]  [13]Du L, Grunes M R, Lee J S. Unsupervised Segmentation of Dual-polarization SAR Images Based on Amplitude and Texture Characteristics[J]. International Journal of Remote Sensing,2002,23(20):4383-402.
[5]  [3]Colombo R,Bellingeri D,Fasolini D,et al. Retrieval of Leaf Area Index in Different Vegetation Types Using High-resolution Satellite Data[J].Remote Sensing of Environment,2003,86(1):120-131.
[6]  [2]Chen J M,Pavlic G,Brown L,et al. Derivation and Validation of Canada-wide Coarse-resolution Leaf Area Index Maps Using High-resolution Satellite Imagery and Ground Measurements[J].Remote Sensing of Environment,2001(8):165-184.
[7]  [14]Baraldi A, Parmiggiani F. An Investigation of the Textural Characteristics Associated with Gray-level Coocurrence Matrix Statistical Parameters[J]. IEEE Transactions on Geoscience and Remote Sensing,1995,33(2):293-304.
[8]  [15]Ulaby F, Sarabandi K, Mcdonald K, et al. Michigan Microwave Canopy Scattering Model[J].International Journal of Remote Sensing,1990,11(7):1223-1253.

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