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中英文翻译高光谱遥感信息中的特征提取与应用研究
Spectral?Features?Extraction?in?Hyperspectral?RS?Data?and? Its?Application?to?Information?Processing? Oriented?to?the?demands?of?hyperspectral?RS?information?processing?and?applications,?spectral?features?in?hyperspectral?RS?image?can?be?categorized?into?three?scales:?point?scale,?block?scale?and?volume?scale.?Based?on?the?properties?and?algorithms?of?different?features,?it?is?proposed?that?point?scale?features?can?be?divided?into?three?levels:?spectral?curve?features,?spectral?transformation?features?and?spectral?similarity?measure?features.?Spectral?curve?features?include?direct?spectra?encoding,?reflection?and?absorption?features.?Spectral?transformation?features?include?Normalized?Difference?of?Vegetation?Index?(NDV?I)?,?derivate?spectra?and?other?spectral?computation?features.?Spectral?similarity?measure?features?include?spectral?angle?(?SA?)?,?Spectral?Information?Divergence?(?SID?)?,?spectral?distance,?correlation?coefficient?and?so?on.?Based?on?analysis?to?those?algorithms,?several?problems?about?feature?extraction,?matching?and?application?are?discussed?further,?and?it?p?roved?that?quaternary?encoding,?spectral?angle?and?SID?can?be?used?to?information?processing?effectively.? 1?Introduction? Hyperspectral?Remote?Sensing?was?one?of?the?most?important?breakthroughs?of?Earth?Observation?System?(?EOS)?in?1990?s.?It?overcomes?the?limitations?of?conventional?aerial?and?multispectral?RS?such?as?less?band?amount,?wide?band?scope?and?rough?spectral?information?expression,?and?can?provide?RS?information?with?narrow?band?width,?more?band?amount?and?fine?spectral?information,?also?it?can?distinguish?and?identify?ground?objects?from?spectral?space,?so?hyperspectral?RS?has?got?wide?applications?in?resources,?environment,?city?and?ecological?fields.?Because?hyperspectral?RS?is?different?from?conventional?RS?information?obviously?in?both?information?acquisition?and?information?processing,?there?are?many?problems?should?be?solved?in?practice.?One?of?the?most?
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