杨芳

杨芳，副教授，湖北省“楚天学子”，2017年10月于法国巴黎第九大学获得应用数学专业博士学位，后入职于武汉科技大学信息科学与工程学院。杨芳博士目前在人工智能与信息融合研究院进行科学研究工作。

主要研究方向：

1、基于热核的测地线方法及其应用

2、遥感图像处理，包括高光谱图像去噪、分类，多模态遥感图像融合、配准等

3、医学图像处理，包括血管分割，超声图像分割等             

4、最优传输理论及其应用

主持及参与项目

[1]国家自然科学基金青年项目，Finsler流形上的热核测地线方法研究及其在网格重构和曲面配准中的应用，主持

[2]国家自然科学基金青年项目，图信号的小波滤波器组设计及其在碳氢化合物QSPR研究上的应用，参与

已发表国际期刊论文

[1] Fang Yang, Laurent D.Cohen, Geodesic Distance and Curves Through Isotropic and Anisotropic Heat Equations on Images and Surfaces, Journal of Mathematical Imaging and Vision, 55(2): 210-228, 2016

[2] Chu He, Fang Yang, Sha Yin, Xinping. Deng and Mingsheng. Liao, Stereoscopic Road Network Extraction by Decision-Level Fusion of Optical and SAR Imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 5, pp. 2221-2228, Oct. 2013

[3] Chu He, Zixian. Liao, Fang Yang, Xinping Deng and Mingsheng. Liao, Road Extraction From SAR Imagery Based on Multiscale Geometric Analysis of Detector Responses, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 5, no. 5, pp. 1373-1382, Oct. 2012

[4] Chu He, Zixian Liao, Fang Yang, et al. A novel linear feature detector for SAR images. EURASIP Journal on Advances in Signal Processing, 2012, 2012(1): 235.

[5] Fang Yang, Xin Chen, Li Chai, Hyperspectral Image Destriping and Denoising Using Stripe and Spectral Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation, Remote Sensing, 2021, 13(4):827-845

[6] Fang Yang, Xin Chen, Li Chai, Optimal graph edge weights driven nlms with multi-layer residual compensation, EURASIP Journal on Advances in Signal Processing, 88 (2021) 

[7] Jing Huang, Bing Bai, Fang Yang*, An effective salient edge detection method based on point flow with phase congruency, Signal, Image and Video Processing, 2022, 16(4): 1019-1026.

[8] Zhang Zhi, Yang Fang*. Hyperspectral image denoising and destriping based on sparse representation, graph Laplacian regularization and stripe low-rank property[J]. EURASIP Journal on Advances in Signal Processing, 2022, 2022(1): 1-18.

[9] Su X, Zhang Z, Yang F*. Fast Hyperspectral Image Denoising and Destriping Method Based on Graph Laplacian Regularization[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023: 1-14

[10] Huang J, Yang F*, Chai L. Robust Registration of Multimodal Remote Sensing Images with Spectrum Congruency[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023: 5103-5114.

[11] Yang F, Chen X, Zhang Z, et al. Denoising and Destriping Hyperspectral Images Using Double Graph Laplacian Regularizers[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023: 10406-10419

[12] Huang J, Zhang Y, Yang F*, et al. Attention-Guided Fusion and Classification for Hyperspectral and LiDAR Data[J]. Remote Sensing, 2023, 16(1): 94.

已发表国内期刊论文

[1]何楚, 杨芳, 石博, 徐新, 廖明生，基于足迹图模型的立体路网提取，哈尔滨工业大学学报, 45(10), 838-845, 2013

[2]张迎豪，杨芳，结合注意力机制的轻量化网络高光谱图像分类，哈尔滨工业大学学报，2023

已发表会议论文

[1] Yang, F., & Cohen, L. D. (2017, June). Tubular Structure Segmentation Based on Heat Diffusion. In International Conference on Scale Space and Variational Methods in Computer Vision (pp. 54-65). Springer, Cham.

[2] Fang Yang, Alfred M.Bruckstein, Laurent D.Cohen, A Model for Automatically Tracing Object Boundaries, IEEE International Conference on Image Processing, 2017, Beijing, China

[3] Fang Yang, Alfred M.Bruckstein, Laurent D.Cohen, PointFlow: A Model for Automatically Tracing Object Boundaries and Inferring Illusory Contours, 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017, Venice, Italy

[4] Fang Yang, Li Chai, Da Chen, Laurent Cohen, Geodesic via asymmetric heat diffusion based on Finsler metric, Asian Conference on Computer Vision (ACCV), 2018, Perth, Australia

[5] Bing Bai, Fang Yang, Li Chai, Point Flow Edge Detection Method Based on Phase Congruency, Chinese Automation Congress (CAC), 2019

[6] Jing Huang, Fang Yang, Li Chai, An Image Denoising Method Based on PM Model with Phase Congruency, International Conference on Industrial Artificial Intelligence (IAI), 2019

[7] Shichao Wang, Jun Yang, Fang Yang, Siamese Differential AE-Net: Noisy Patch Comparison and Its Application in NLM, Chinese Control and Decision Conference (CCDC), 2021

[8] Xin Chen, Fang Yang, Hyperspectral Image Destriping and Denoising Using Stripe and Spectral Low-Rank Matrix Recovery and Graph Laplacian Regularization, Chinese Control and Decision Conference (CCDC), 2022

研究生情况

2018级：柏冰，黄静

2019级：陈欣，获得2022届优秀硕士论文

2020级：张智，获得2023届优秀硕士论文；张迎豪

2021级：李渊

2022级：胡俊杰，孟思洋

2023级：胡强福，董汉林，肖樱倍，陈峻飞

欢迎信号处理、计算机、数学专业的同学积极报考。