A novel unsupervised classification approach for hyperspectral imagery based on spectral mixture model and MARKOV random field. - Yuan Fang 003; Linlin Xu; Xiao Sun; Longshan Yang; Yujia Chen 002; Junhuan Peng (IGARSS, 2016)

Super-resolution reconstruction of hyperspectral imagery using an spectral unmixing based representational model. - Xiao Sun; Linlin Xu; Longshan Yang; Yujia Chen 002; Yuan Fang 003; Junhuan Peng (IGARSS, 2016)

Denoising of hyperspectral imagery using an intrinsic spectral representation model with spatial smoothness constraint. - Longshan Yang; Linlin Xu; Xiao Sun; Yuan Fang 003; Yujia Chen 002; Junhuan Peng (IGARSS, 2016)

Multispectral Images Pan-Sharpening Based on Atrous Convolution Network and Deep Residual Network. - Tiantian Wang; Longshan Yang; Linlin Xu (ICAIP, 2019)

Combined Nonlocal Spatial Information and Spatial Group Sparsity in NMF for Hyperspectral Unmixing. - Longshan Yang; Junhuan Peng; Huiwei Su; Linlin Xu; Yuebin Wang; Bowen Yu (IEEE Geosci. Remote. Sens. Lett., 2020)

Nonlocal Band-Weighted Iterative Spectral Mixture Model for Hyperspectral Imagery Denoising. - Longshan Yang; Linlin Xu; Junhuan Peng; Yongze Song; Alexander Wong; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2020)

Glacier classification from Sentinel-2 imagery using spatial-spectral attention convolutional model. - Shuai Yan; Linlin Xu; Guojiang Yu; Longshan Yang; Wenju Yun; Dehai Zhu; Sijing Ye; Xiaochuang Yao (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Semisupervised Hyperspectral Image Classification via Superpixel-Based Graph Regularization With Local and Nonlocal Features. - Longshan Yang; Junhuan Peng; Yuebin Wang; Linlin Xu; Weiwei Zhu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

A spatio-temporal unmixing with heterogeneity model for the identification of remotely sensed MODIS aerosols: Exemplified by the case of Africa. - Longshan Yang; Peng Luo 001; Zehua Zhang; Yongze Song; Kai Ren; Ce Zhang 005; Joseph L. Awange; Peter M. Atkinson; Liqiu Meng (Int. J. Appl. Earth Obs. Geoinformation, 2024)

TSANet: A deep learning framework for the delineation of agricultural fields utilizing satellite image time series. - Shuai Yan; Xiaochuang Yao; Jialin Sun; Weiming Huang 001; Longshan Yang; Chao Zhang 081; Bingbo Gao; Jianyu Yang 005; Wenju Yun; Dehai Zhu (Comput. Electron. Agric., 2024)

Hyperspectral Image Clustering by Superpixel- Based Low-Rank Constrained Bipartite Graph Learning. - Zailong Yuan; Longshan Yang (IEEE Geosci. Remote. Sens. Lett., 2024)