C
Chen Yi
Researcher at Northwestern Polytechnical University
Publications - 20
Citations - 488
Chen Yi is an academic researcher from Northwestern Polytechnical University. The author has contributed to research in topics: Hyperspectral imaging & Image resolution. The author has an hindex of 8, co-authored 20 publications receiving 301 citations.
Papers
More filters
Proceedings ArticleDOI
Hyperspectral image classification using two-channel deep convolutional neural network
TL;DR: A two-channel deep convolutional neural network (Two-CNN) is proposed to learn jointly spectral-spatial feature from hyperspectral image to improve the performance of the deep model using transfer learning.
Journal ArticleDOI
Hyperspectral Image Super-Resolution Based on Spatial and Spectral Correlation Fusion
TL;DR: Low-rank property is introduced in this paper to regularize the sparse coefficients of the HS patch matrix, which is utilized as the spatial constraint and the super-resolution results are superior to those of other state-of-the-art methods.
Journal ArticleDOI
No-Reference Hyperspectral Image Quality Assessment via Quality-Sensitive Features Learning
TL;DR: Five state-of-the-art super-resolution methods on Airborne Visible Infrared Imaging Spectrometer and Hyperspec-VNIR-C data are assessed using the proposed no-reference hyperspectral image quality assessment method based on quality-sensitive features extraction.
Journal ArticleDOI
Hyperspectral and Multispectral Image Fusion via Graph Laplacian-Guided Coupled Tensor Decomposition
Yuanyang Bu,Yongqiang Zhao,Jize Xue,Jonathan Cheung-Wai Chan,Seong G. Kong,Chen Yi,Jinhuan Wen,Binglu Wang +7 more
TL;DR: Wang et al. as mentioned in this paper proposed a graph Laplacian-guided coupled tensor decomposition (gLGCTD) model for fusion of hyperspectral image (HSI) and MSI for spatial and spectral resolution enhancements.