Short biography
I am a fourth-year Ph.D student. Before I came here, I received my Master's degree in pattern recognition and intelligent systems from Wuhan University in China.
Supervisors
Alexander Wong, David A. Clausi
Research interests
My research interests lie in the fields of machine learning, computer vision, and image processing, with particular applications in remote sensing.
Research topics
Image Segmentation/Classification
Research demos
Publications
Journal articles
Li, F., D. A. Clausi, and A. Wong, "Comparative study of classification methods for surficial materials in the Umiujalik Lake region using RADARSAT-2 polarimetric, Landsat-7 imagery and DEM Data
", Canadian Journal of Remote Sensing, February, Accepted. Details
Li, F., L. Xu, A. Wong, and D. A. Clausi, "Feature Extraction for Hyperspectral Imagery via Ensemble Localized Manifold Learning", IEEE Geoscience and Remote Sensing Letters, vol. 12, issue 12, 2015. Details
Li, F., L. Xu, A. Wong, and D. A. Clausi, "QMCTLS: Quasi Monte Carlo Texture Likelihood Sampling for Despeckling of Complex Polarimetric SAR Images", IEEE Geoscience and Remote Sensing Letters, vol. 12, issue 7, February, 2015. Details
Xu, L., A. Wong, F. Li, and D. A. Clausi, "Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, issue 2, 2015. Details
Li, F., L. Xu, P. Siva, A. Wong, and D. A. Clausi, "Hyperspectral Image Classification with Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random", IEEE Journal of Selected Topics in Applied Earth observations and Remote Sensing, vol. 8, issue 6, February, 2015. Details
Li, F., L. Xu, P. Siva, A. Wong, and D. A. Clausi, "Hyperspectral Image Classification with Limited Labeled Training Samples Using Enhanced Ensemble Learning and Conditional Random", IEEE Journal of Selected Topics in Applied Earth observations and Remote Sensing, vol. 8, issue 6, February, 2015. Details
Xu, L., A. Wong, F. Li, and D. A. Clausi, "Intrinsic Representation of Hyperspectral Imagery for Unsupervised Feature Extraction", IEEE Transactions on Geosciences and Remote Sensing, vol. 54, issue 2: IEEE, 2015. Details
Conference papers
Wang, L., A. Wong, D. A. Clausi, A. K. Scott, L. Xu, M. J. Shafiee, and F. Li, "Sea ice concentration estimation from satellite SAR imagery using convolutional neural network and stochastic fully connected connected conditional random field",CVPR 2015 Earthvision Workshop, Submitted. Details
Li, F., D. A. Clausi, L. Wang, and L. Xu, "A Semi-supervised Approach for Ice-water Classification Using Dual-Polarization SAR Satellite Imagery", CVPR 2015 Earthvision Workshop, Accepted. Details
Xu, L., M. J. Shafiee, A. Wong, F. Li, L. Wang, and D. A. Clausi, "Oil Spill Candidate Detection from SAR Imagery Using a Thresholding-Guided Stochastic Fully-Connected Conditional Random Field Model", CVPR 2015 Earthvision Workshop, Accepted. Details
Mishra, A., C. Scharfenberger, P. Siva, F. Li, A. Wong, and D. A. Clausi, "DESIRe: Discontinuous Energy Seam Carving for Image Retargeting Via Structural and Textural Energy Functionals", IEEE International Conference on Image Processing (ICIP), September, 2015. Details
Li, F., A. Wong, and D. A. Clausi, "Combining rotation forests and AdaBoost for hyperspectral imagery classification using few labeled samples", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014. Details
Li, F., A. Wong, and D. A. Clausi, "Comparative Study of Feature Space Projection Methods for Hyperspectral Image Classification", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014. Details
Li, F., A. Wong, and D. A. Clausi, "Comparison of unsupervised segmentation methods for surficial materials mapping in Nunavut, Canada using RADARSAT-2 polarimetric, Landsat-7, and DEM data", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2014. Details
Amelard, R., A. Wong, D. A. Clausi, and F. Li, "Unsupervised Classification of Sea-Ice and Water Using Synthetic Aperture Radar via an Adaptive Texture Sparsifying Transform", IEEE International Geoscience and Remote Sensing Symposium, March, 2013. Details
