TY - GEN
T1 - Destriping Hyperspectral Imagery by Adaptive Anisotropic Total Variation and Truncated Nuclear Norm
AU - Hu, Ting
AU - Liu, Na
AU - Li, Wei
AU - Tao, Ran
AU - Zhang, Feng
AU - Scheunders, Paul
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3/24
Y1 - 2021/3/24
N2 - Destriping is an important hyperspectral image processing procedure. Many variation-based methods show adequate destriping performance. However, global variation constraints cause loss of texture information in unstriped image regions. To alleviate this effect, we propose an adaptive anisotropy total variation method to adaptively smoothen the striped regions. Furthermore, considering the highly linear relationship among stripes, we introduce, for the first time, the truncated nuclear norm to constrain the rank of the stripes to 1. When combining the adaptive anisotropy total variation and the truncated nuclear norm, a hyperspectral image destriping model is established, which can easily be solved by the alternating direction method of multipliers (ADMM). Experiments demonstrate the effectiveness and superiority of the proposed destriping method.
AB - Destriping is an important hyperspectral image processing procedure. Many variation-based methods show adequate destriping performance. However, global variation constraints cause loss of texture information in unstriped image regions. To alleviate this effect, we propose an adaptive anisotropy total variation method to adaptively smoothen the striped regions. Furthermore, considering the highly linear relationship among stripes, we introduce, for the first time, the truncated nuclear norm to constrain the rank of the stripes to 1. When combining the adaptive anisotropy total variation and the truncated nuclear norm, a hyperspectral image destriping model is established, which can easily be solved by the alternating direction method of multipliers (ADMM). Experiments demonstrate the effectiveness and superiority of the proposed destriping method.
KW - Hyperspectral image
KW - adaptive anisotropy total variation
KW - destriping
KW - truncated nuclear norm
UR - http://www.scopus.com/inward/record.url?scp=85112815958&partnerID=8YFLogxK
U2 - 10.1109/WHISPERS52202.2021.9484033
DO - 10.1109/WHISPERS52202.2021.9484033
M3 - Conference contribution
AN - SCOPUS:85112815958
T3 - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
BT - 2021 11th Workshop on Hyperspectral Imaging and Signal Processing
PB - IEEE Computer Society
T2 - 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, WHISPERS 2021
Y2 - 24 March 2021 through 26 March 2021
ER -