398 citations · 931 across the 31 of their papers we have counts for
4 papers · 1 filter
Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition
Yao Wang, Jiangjun Peng, Qian Zhao +3
Hyperspectral images (HSIs) are often corrupted by a mixture of several types of noise during the acquisition process, e.g., Gaussian noise, impulse noise, dead lines, stripes, and…
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning
Kaidong Wang, Yao Wang, Qian Zhao +2
It is known that Boosting can be interpreted as a gradient descent technique to minimize an underlying loss function. Specifically, the underlying loss being minimized by the tradi…
A General Model for Robust Tensor Factorization with Unknown Noise
Xi'ai Chen, Zhi Han, Yao Wang +4
Because of the limitations of matrix factorization, such as losing spatial structure information, the concept of low-rank tensor factorization (LRTF) has been applied for the recov…
Denoising Hyperspectral Image with Non-i.i.d. Noise Structure
Yang Chen, Xiangyong Cao, Qian Zhao +2
Hyperspectral image (HSI) denoising has been attracting much research attention in remote sensing area due to its importance in improving the HSI qualities. The existing HSI denois…