Estimating oil thickness by simplified Hapke model

Mei-ping Song; Ren-chao Lin; Ju-bai An; Hai-mo Bao

doi:10.1117/12.2035049

30 August 2013 Estimating oil thickness by simplified Hapke model

Mei-ping Song, Ren-chao Lin, Ju-bai An, Hai-mo Bao

Proceedings Volume 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications; 891025 (2013) https://doi.org/10.1117/12.2035049
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

Abstract

As the hyperspectral image combines spacial information with spectral information, the spectroscopic data can describe the characteristics of surface feature more accurately, and provide possibilities for classification and quantitative calculation for the surface features. Now, the unmixing technology for mixed pixel has become a hot topic in this field. The technology for pixel unmixing contains two main directions. The first one is based on linear mixing model. This model assumes that the pixel is formed by endmembers according to linear relationship. The methods based on this model are easy to be implemented. But the ideal model can’t describe the mixed relation of the surface features accurately. So the accuracy of abundance estimation can’t be guaranteed. The second one is based on non-linear model. This method could get good analytical results, but they are mainly established for particular surface features and difficult for implementation. This paper was mainly aimed at the research of abundance estimation. A simplified Hapke model is proposed to be applied to actual hyperspectral image of oil spilling, so as to obtain the estimation of oil thickness. The Hapke model could transform the non-linear relationship to linear relationship for hyperspetral data. The spectral reflectances of non-linear relationship are transformed to spectral albedo satisfying linear relationship, without changing the abundance. At last, this model is applied to actual hyperspectral image of oil spilling, achieving estimation for oil thickness.

Citation Download Citation

Mei-ping Song, Ren-chao Lin, Ju-bai An, and Hai-mo Bao "Estimating oil thickness by simplified Hapke model", Proc. SPIE 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications, 891025 (30 August 2013); https://doi.org/10.1117/12.2035049

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KEYWORDS

Reflectivity

Hyperspectral imaging

Data modeling

Spectroscopy

Structural health monitoring

Analytical research

Data acquisition

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