TY - GEN
T1 - Hyperspectral image destriping using unmixing-based kriging interpolation
AU - Pan, Cencen
AU - Tan, Kun
AU - Du, Qian
AU - Yan, Qinwu
AU - Ding, Jianwei
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/28
Y1 - 2016/6/28
N2 - Stripes in hyperspectral imagery reduce image quality and limit further applications. In this paper, we propose a novel destriping method. In this method, reference spectra is extracted in VNIR bands and linear unmixing is performed to denoise these bands, and abundance maps derived by VNIR bands are then used to repair SWIR bands. The error term of all the SWIR bands is also calculated, and the kriging interpolation method is used to interpolate error term, deriving the final destriped SWIR images. Destriping results shown that the proposed method outperforms the traditional kriging interpolation with visual inspection and quantitative assessment.
AB - Stripes in hyperspectral imagery reduce image quality and limit further applications. In this paper, we propose a novel destriping method. In this method, reference spectra is extracted in VNIR bands and linear unmixing is performed to denoise these bands, and abundance maps derived by VNIR bands are then used to repair SWIR bands. The error term of all the SWIR bands is also calculated, and the kriging interpolation method is used to interpolate error term, deriving the final destriped SWIR images. Destriping results shown that the proposed method outperforms the traditional kriging interpolation with visual inspection and quantitative assessment.
KW - Destriping
KW - Hyperspectral imagery
KW - Kriging interpolation
KW - Unmixing
UR - https://www.scopus.com/pages/publications/85037526041
U2 - 10.1109/WHISPERS.2016.8071669
DO - 10.1109/WHISPERS.2016.8071669
M3 - 会议稿件
AN - SCOPUS:85037526041
T3 - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
BT - 2016 8th Workshop on Hyperspectral Image and Signal Processing
PB - IEEE Computer Society
T2 - 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2016
Y2 - 21 August 2016 through 24 August 2016
ER -