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小波变换在植被格局分析中的应用
Application of wavelet transform in analysis of vegetation pattern
【摘要】 本文通过野外实地观测,利用小波理论尝试性地分析了1000m样带上植被总盖度在不同尺度下的分布特征。通过不同尺度下小波变换映像值的分析,解决了植被格局研究中在不同尺度下同时进行规模、强度、纹理分析这一久而未决的难题,发现了植被格局规模在不同尺度下的变化符合分形性质的特点。
【Abstract】 The discrete wavelet transform is defined hy a square matrix of filter coefficients,transforming an array into a new array,usually of the same length.The transform is chosen such that in the transform space the information is sparse,inviting compression.Based on survey in field,wavelet theory was adopted to analyze experimentally the distribution characteristics of total vegetation coverage,on different scales in a 1000-meter-long sample belt.A suspending problem in studying simultaneously the vegetation pattern scale,intensity and grain on different scales was solved according to the analysis of projection figure of wavelet transform on different scales.This leads to finding the feature that changes of vegetation pattern on different scales are consistent with fractal characteristics.
- 【文献出处】 深圳信息职业技术学院学报 ,Journal of Shenzhen Institute of Information Technology , 编辑部邮箱 ,2006年04期
- 【分类号】O174.2
- 【被引频次】1
- 【下载频次】91