The following publications are possibly variants of this publication:
- Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random FieldYujia Chen, Linlin Xu, Yuan Fang 0003, Junhuan Peng, Wenfu Yang, Alexander Wong, David A. Clausi. lgrs, 18(1):162-166, 2021. [doi]
- Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace RepresentationHailin Wang, Jiangjun Peng, Xiangyong Cao, Jianjun Wang 0003, Qibin Zhao, Deyu Meng. staeors, 16:5189-5203, 2023. [doi]
- Hyperspectral Imagery Super-Resolution by Spatial-Spectral Joint Nonlocal SimilarityYongqiang Zhao 0001, Jingxiang Yang, Jonathan Cheung-Wai Chan. staeors, 7(6):2671-2679, 2014. [doi]
- Denoising of hyperspectral imagery using an intrinsic spectral representation model with spatial smoothness constraintLongshan Yang, Linlin Xu, Xiao Sun, Yuan Fang, Yujia Chen, Junhuan Peng. igarss 2016: 4267-4270 [doi]
- A novel unsupervised classification approach for hyperspectral imagery based on spectral mixture model and MARKOV random fieldYuan Fang, Linlin Xu, Xiao Sun, Longshan Yang, Yujia Chen, Junhuan Peng. igarss 2016: 2450-2453 [doi]