基于实测高光谱数据空间特征的光谱混合模型

陈磊; 陈圣波; 杨倩; 马明; 刘道飞

doi:10.3799/dqkx.2015.118

Volume 40 Issue 8

Aug. 2015

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Chen Lei, Chen Shengbo, Yang Qian, Ma Ming, Liu Daofei, 2015. A Spectral Mixture Model Based on Spectral Spatial Character of Measured Hyperspectral Data. Earth Science, 40(8): 1359-1364. doi: 10.3799/dqkx.2015.118

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Chen Lei, Chen Shengbo, Yang Qian, Ma Ming, Liu Daofei, 2015. A Spectral Mixture Model Based on Spectral Spatial Character of Measured Hyperspectral Data. Earth Science, 40(8): 1359-1364. doi: 10.3799/dqkx.2015.118

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A Spectral Mixture Model Based on Spectral Spatial Character of Measured Hyperspectral Data

doi: 10.3799/dqkx.2015.118

College of Geoexploration Science and Technology, Jilin University, Changchun 130026, China

Received Date: 2015-03-05
Publish Date: 2015-08-01

Abstract

Abstract

In order to enhance the estimation of mixed spectral model, the equidistant/ homalographic model is established to analyze the spectral spatial character to simulate the mixture spectra. Based on the reflex platform and FieldSpec 3 Hi-Res portable spectrum instrument, the equidistant/ homalographic experiment, which takes the effect of distance between optical fiber probe and detected endmember into account, was designed to acquire the mixed spectral reflectance of calcite and green leaf. The measured mixed spectra analysis shows the weight coefficients of distribution change with the distance between the detected endmember and the probe is in a Gauss distribution. Compared with the linear spectral mixture model and improved linear spectral model, the results simulated by the equidistant/ homalographic model is 1.20% greater in similarity and 7.78% lower in RMSE. Considering the influence exerted by spectral spatial structure on mixed spectral simulation, the equidistant/ homalographic model proves to improve the accuracy of mixed spectral simulation and a new method for unmixing the mixed pixel of hyperspectral data.
- mixed spectra,
- spectral spatial character,
- weight coefficient,
- equidistant/homalographic model,
- remote sensing

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References

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A Spectral Mixture Model Based on Spectral Spatial Character of Measured Hyperspectral Data

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