GAO Jian, ZHANG Feiyan, XIE Wei, QIN Qianqing. Denoising on Hyperspectral Data by Energy Variations[J]. Geomatics and Information Science of Wuhan University, 2012, 37(3): 322-325.
Citation: GAO Jian, ZHANG Feiyan, XIE Wei, QIN Qianqing. Denoising on Hyperspectral Data by Energy Variations[J]. Geomatics and Information Science of Wuhan University, 2012, 37(3): 322-325.

Denoising on Hyperspectral Data by Energy Variations

Funds: 湖北省自然科学基金资助项目(2011CDB4521);湖北省自然科学基金重点资助项目(2009CDA141);;国家科技支撑计划资助项目(2011BAK08B03);;中央高校基本科研业务费专项资金资助项目(111078);;国家自然科学基金面上资助项目(61070079)
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  • Received Date: January 06, 2012
  • Published Date: March 04, 2012
  • In order to denoise in spatial and spectral dimensions at the same time,a denoising method based on energy variations is provided for hyperspectral image.With the hypersurface minimal scheme,energy functional is built of spatial surface area,spectral curve length and residual l2 norm.The minimal surface area term smoothes data in spatial dimensions and the minimal curve length term works in spectral dimension whose weights are determined by two positive coefficients.The surface mean curvature and curve curvature drive suppressing of noise together.Then perturbation is abated by available neighboring reliable data.The proposed method works well in experiments on hyperspectral image from Hamamatsu camera and AVIRIS.
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