Yuan Fang received her Ph.D. degree from the VIP lab of the Department of systems design engineering, University of Waterloo, ON, Canada in 2022. Her research interests include remote sensing image processing, hyperspectral imaging, machine learning, and environmental monitoring. She received her B.Eng. and M.Sc. degrees in geomatics engineering from China University of Geosciences, Beijing, China, in 2016 and 2018, respectively.
Chen X., Scott K.A., Xu L., Jiang M., Fang Y., and Clausi D.A, "Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023. Get it here. Fang Y., Wang Y., Xu L., Chen Y., Wong A., and Clausi D.A, "Unsupervised Bayesian Subpixel Mapping Autoencoder Network for Hyperspectral Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, 2023. Get it here. Fang Y., Xu L., Wong A., and Clausi D.A, "Multi-Temporal Landsat-8 Images for Retrieval and Broad Scale Mapping of Soil Copper Concentration Using Empirical Models", Remote Sensing, vol. 14, 2022. Get it here. Fang Y., Xu L., Chen Y., Zhou W., Wong A., and Clausi D.A, "A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 4571-4582, 2022. Get it here. Fang Y., Wang Y., Xu L., Zhuo R., Wong A., and Clausi D.A, "BCUN: Bayesian Fully Convolutional Neural Network for Hyperspectral Spectral Unmixing", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 2022. Get it here. Zhuo R., Fang Y., Xu L., Chen Y., Wang Y., and Peng J, "A novel spectral-temporal Bayesian unmixing algorithm with spatial prior for Sentinel-2 time series", Remote Sensing Letters, vol. 13, pp. 522-532, 2022. Get it here. Chen Y., Xu L., Fang Y., Peng J., Yang W., Wong A., and Clausi D.A, "Unsupervised Bayesian Subpixel Mapping of Hyperspectral Imagery Based on Band-Weighted Discrete Spectral Mixture Model and Marko", IEEE Geoscience and Remote Sensing Letters, vol. 18, pp. 162-166, 2021. Get it here. Fang Y., Hu Z., Xu L., Wong A., and Clausi D.A, "Estimation of Iron Concentration in Soil of A Mining Area from Uav-Based Hyperspectral Imagery", Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, vol. 127, 2019. Get it here. Fang Y., Xu L., Peng J., Yang H., Wong A., and Clausi D.A, "Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, pp. 3325-3337, 2018. Get it here. Fang Y., Xu L., Peng J., Wang H., Wong A., and Clausi D.A, "Retrieval and mapping of heavy metal concentration in soil using time series landsat 8 imagery", International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, vol. 42, pp. 335-340, 2018. Get it here. Wang Y., Zhuo R., Xu L., and Fang Y, "A Spatial–Temporal Bayesian Deep Image Prior Model for Moderate Resolution Imaging Spectroradiometer Temporal Mixture Analysis", Remote Sensing, vol. 15, 2023. Get it here. Stokholm A., Buus-Hinkler J., Wulf T., Korosov A., Saldo R., Pedersen L.T., Arthurs D., Dragan I., Modica I., Pedro J., Debien A., Chen X., Patel M., Cantu F.J.P., Turnes J.N., Park J., Xu L., Scott K.A., Clausi D.A., Fang Y., Jiang M., Taleghanidoozdoozan S., Brubacher N.C., Soleymani A., Gousseau Z., Smaczny M., Kowalski P., Komorowski J., Rijlaarsdam D., Van Rijn J.N., Jakobsen J., Rogers M.S.J., Hughes N., Zagon T., Solberg R., Longepe N., and Kreiner M.B, "The AutoICE Challenge", Cryosphere, vol. 18, pp. 3471-3494, . Get it here.
Conference PapersChen X., Scott K.A., Jiang M., Fang Y., Xu L., and Clausi D.A, "Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline", Proceedings - 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW 2023, 2023. Get it here. Xu L., Fang Y., Chen X., and Clausi D.A, "Light-Weighted Explainable Dual Transformer Network for Hyperspectral Image Classification", International Geoscience and Remote Sensing Symposium (IGARSS), 2023. Get it here. Fang Y., De Souza A., Xu L., Chen X., and Clausi D.A, "Endmember Variable Mineral Mapping with Bayesian Convolutional Unmixing Network Using Prisma Hyperspectral Imagery", Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing, 2023. Get it here. Yang L., Xu L., Sun X., Fang Y., Chen Y., and Peng J, "Denoising of hyperspectral imagery using an intrinsic spectral representation model with spatial smoothness constraint", International Geoscience and Remote Sensing Symposium (IGARSS), 2016. Get it here. Fang Y., Xu L., Sun X., Yang L., Chen Y., and Peng J, "A novel unsupervised classification approach for hyperspectral imagery based on spectral mixture model and MARKOV random field", International Geoscience and Remote Sensing Symposium (IGARSS), 2016. Get it here. Sun X., Xu L., Yang L., Chen Y., Fang Y., and Peng J, "Super-resolution reconstruction of hyperspectral imagery using an spectral unmixing based representational model", International Geoscience and Remote Sensing Symposium (IGARSS), 2016. Get it here.