A Spectral Mixture Model Based on Spectral Spatial Character of Measured Hyperspectral Data
Chen Lei
Chen Shengbo
Yang Qian
Ma Ming
Liu Daofei
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 port-able 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 detec-ted 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/homalo-graphic model proves to improve the accuracy of mixed spectral simulation and a new method for unmixing the mixed pixel of hyperspectral data.
Keywords：mixed spectraspectral spatial characterweight coefficientequidistant/homalographic modelremote sensing
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1359-1364 )