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Analysis of Hyper-spectral Discriminatory Methods on Typical Plateau Forestry Vegetation

Xiao-ai DAIXing-ping YANGHu-jun JIAXian-hua YANGXu-wei HESen-hao LIULi-xiao XIAOWu-nian YANG

Chengdu University of Technology College Of Earth SciencesEvaluation and Utilization of Strategic Rare Metals and Rare Earth Resourse Key Laboratory of Sichuan Province,Sichuan Geological Survey

摘要:Spectral characteristics analyzing is the foundation of classification and matching for surface features.In this paper,field spectrum measurement was conducted on typical plateau forestry vegetation types in upper reaches of Min Jiang River.Meanwhile,hyper-spectral similarity measurement indicators were established.This paper tested 5 spectral similarity measurement operators including Euclidean Distance(ED),Spectral Angel Measurement(SAM),Spectral Information Divergence(SID),Spectral Information Divergence-Spectral Angel Measurement(SID-SAM) and Douglas Peucker Spectral Dimensionality Reduction Distance(DPSD) on identification of plateau forestry vegetation in quantified analyzing methods.Analyzing results indicate that(1) the spectral characteristics differences of all the 5 plateau forestry vegetation types mainly fall into the crest or trough of reflection spectra;(2) Chinese China fir,palm,pilea notata,ferns and mottled bamboo generally have high standard of spectral discriminatory probability,meanwhile,the spectral discriminatory probability between pilea notata and ferns is quite low;(3)for plateau forestry vegetation types,spectral discriminatory ability for of all the 5 spectral similarity measurement operators shows in descending order:Spectral Angel Measurement,Euclidean Distance Measurement,Douglas Peucker Spectral Dimensionality Reduction Distance Measurement,Spectral Information Divergence-Spectral Angel Measurement,spectral Information Divergence Measurement.
会议名称:

2019 International Conference on Civil Engineering, Mechanics and Materials Science(CEMMS 2019)

会议时间:

2019-08-30

会议地点:

中国湖南长沙

  • 专辑:

    基础科学; 农业科技

  • 专题:

    物理学; 林业

  • 分类号:

    S718.5;O433.4

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