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)

Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field. - Yuan Fang 003; Linlin Xu; Junhuan Peng; Honglei Yang; Alexander Wong; David A. Clausi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Estimation Of Iron Concentration In Soil Of A Mining Area From Uav-Based Hyperspectral Imagery. - Yuan Fang 003; Zhongzheng Hu; Linlin Xu; Alexander Wong; David A. Clausi (WHISPERS, 2019)

Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Markov Random Field. - Yujia Chen 002; Linlin Xu; Yuan Fang 003; Junhuan Peng; Wenfu Yang; Alexander Wong; David A. Clausi (IEEE Geosci. Remote. Sens. Lett., 2021)

Multi-Temporal Landsat-8 Images for Retrieval and Broad Scale Mapping of Soil Copper Concentration Using Empirical Models. - Yuan Fang 003; Linlin Xu; Alexander Wong; David A. Clausi (Remote. Sens., 2022)

A Spatial-Temporal Depth-Wise Residual Network for Crop Sub-Pixel Mapping from MODIS Images. - Yuxian Wang; Yuan Fang 003; Wenlong Zhong; Rongming Zhuo; Junhuan Peng; Linlin Xu (Remote. Sens., 2022)

A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation. - Yuan Fang 003; Linlin Xu; Yuhao Chen 001; Wei Zhou 021; Alexander Wong; David A. Clausi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

BCUN: Bayesian Fully Convolutional Neural Network for Hyperspectral Spectral Unmixing. - Yuan Fang 003; Yuxian Wang; Linlin Xu; Rongming Zhuo; Alexander Wong; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2022)

Extending a Linear Kernel-Driven BRDF Model to Realistically Simulate Reflectance Anisotropy Over Rugged Terrain. - Kai Yan 001; Hanliang Li; Wanjuan Song; Yiyi Tong; Dalei Hao; Yelu Zeng; Xihan Mu; Guangjian Yan; Yuan Fang 003; Ranga B. Myneni; Crystal Schaaf (IEEE Trans. Geosci. Remote. Sens., 2022)

Light-Weighted Explainable Dual Transformer Network for Hyperspectral Image Classification. - Linlin Xu; Yuan Fang 003; Xinwei Chen; David A. Clausi (IGARSS, 2023)

Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline. - Xinwei Chen; Katharine Andrea Scott; Mingzhe Jiang; Yuan Fang 003; Linlin Xu; David A. Clausi (WACV (Workshops), 2023)

Endmember Variable Mineral Mapping with Bayesian Convolutional Unmixing Network Using Prisma Hyperspectral Imagery. - Yuan Fang 003; Alexander De Souza; Linlin Xu; Xinwei Chen; David A. Clausi (WHISPERS, 2023)

Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery. - Xinwei Chen; Katharine Andrea Scott; Linlin Xu; Mingzhe Jiang; Yuan Fang 003; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2023)

Unsupervised Bayesian Subpixel Mapping Autoencoder Network for Hyperspectral Images. - Yuan Fang 003; Yuxian Wang; Linlin Xu; Yujia Chen 002; Alexander Wong; David A. Clausi (IEEE Trans. Geosci. Remote. Sens., 2023)

A Spatial-Temporal Bayesian Deep Image Prior Model for Moderate Resolution Imaging Spectroradiometer Temporal Mixture Analysis. - Yuxian Wang; Rongming Zhuo; Linlin Xu; Yuan Fang 003 (Remote. Sens., 2023)