论文节选： [1]X. N. Liu, X. Z. Yang, J. Jing and A. Wong. “Detecting pulse wave from unstable facial videos recorded from consumer-level cameras: a disturbance-adaptive orthogonal matching pursuit”, IEEE Transactions on Biomedical Engineering, 2020. [2]D. L. Wang, X. Z. Yang, X. N. Liu, J. Jing and S. Fang. “Detail-preserving pulse wave extraction from facial videos using consume-level camera”, Biomedical Optics Express, 2020.[3]D. L. Wang, X. Z. Yang, X. Liu, S. Fang, L. Ma and L. Li. “Photoplethysmography based stratification of blood pressure using multi-information fusion artificial neural network”, The 3rd International Workshop on Computer Vision for Physiological Measurement (CVPM) at CVPR 2020. [4]J. Wang, X. Z. Yang, Unsupervised Change Detection between SAR Images based on Hypergraphs, ISPRS Journal of Photogrammetry and Remote Sensing, 2020. [5]A. Zhang, X. Z. Yang, Region level SAR Image Classification using Deep Features and Spatial Constraints, ISPRS Journal of Photogrammetry and Remote Sensing, 2020. [6]X. N. Liu, X. Z. Yang, J. Jing and S. Fang. “Detail-preserving signal fitting for pulse wave detection from smartphone-based fingertip videos”, Proceedings of the IEEE International Conference on Image Processing (ICIP), 2019. [7] X. N. Liu, X. Z. Yang and J. Jing.”. “Self-adaptive signals separation for non-contact heart rate estimation from facial video in realistic environments”, Physiological Measurement, 2018. [8] M. Z. Jiang, X. Z. Yang, Z. Y. Dong, Ship classification based on Superstructure Scattering Features in SAR Images, IEEE Geoscience and Remote Sensing Letters, 2016.
[9] W. H. Lang, P. Zhang, J. Wu, Y. Shen and X. Z. Yang, Incidence Angle Correction of SAR Sea Ice Data Based on Locally Linear Mapping, IEEE Transactions on Geoscience and Remote Sensing, 2016. [10] W. H. Lang, J. Wu, X. Zhang, X. Z. Yang, J. M. Meng. Detection of Ice Types in the Weddell Sea by fusing L and C band SIR-C polarimetric quantities. International Journal of Remote Sensing,2014. [11] X. Z. Yang, K. W. Wu and Y. M. Tang, A New Metric for Measuring Structure-Preserving Capability of Despeckling of SAR Images, ISPRS Journal of Photogrammetry and Remote Sensing, 2014. [12] X. Z. Yang, M. Ye, X. Wu and Z. Yang, Structure-Preserving Bilateral Filtering For PolSAR Data. Proc. of IEEE Int’l Conf. on Image Processing, 2014. [13] X. Z. Yang and D. A. Clausi，Evaluating SAR Sea Ice Image Classification Using Edge-Preserving Region-Based MRFs, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing（JSTARS）, vol. 5, no. 5, pp. 1383-1393, 2012. [14] X. Z. Yang, L. Jia, Despeckling Structural Loss(DSL): A New Metric for Measuring Structure Preserving Capability of Despeckling Algorithms, Proceedings of the 7th IAPR Workshop on Pattern Recognition in Remote Sensing at ICPR, Nov, 2012. [15] X. Z. Yang and D. A. Clausi, Structure-preserving speckle reduction of SAR images using nonlocal means filters. Proc. of IEEE Int’l Conf. on Image Processing (ICIP 09), pp. 2985-2988, Cairo, Egypt, 2009. [16] X. Z. Yang and D. A. Clausi, SAR sea ice image segmentation using an edge-preserving region-based MRF. Proc. of IEEE Int’l Conf. on Image Processing (ICIP 09), pp. 1721-1724, Cairo, Egypt, 2009. [17] X. Z. Yang, D. Yang and J. Shen, On the selection of ICA features for texture classification. Proc. of the Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, vol. 7496, pp. 74960S-1 - 74960S-7, 2009. [18] X. Z. Yang and D. A. Clausi, SAR sea ice image segmentation based on edge-preserving watersheds. Proc. of the 4th Canadian Conference on Computer and Robot Vision (CRV 07). Montreal, Canada, pp. 426-431, 2007. [19] X. Z. Yang, G. K. H. Pang and N. H. C. Yung, Robust fabric defect detection and classification using multiple adaptive wavelets, IEE - Vision, Image and Signal Processing, vol. 152, issue 6, pp. 715-723, 2005. [20] X. Z. Yang, G. K. H. Pang and N. H. C. Yung, “Discriminative training approaches to fabric defect classification based on wavelet transform”, Pattern Recognition, vol. 37, issue 5, pp. 889-899, May, 2004. [21] X. Z. Yang, G. K. H. Pang and N. H. C. Yung, “Discriminative fabric defect detection using adaptive wavelet”, Optical Engineering - The Journal of SPIE, vol. 41, no. 12, pp. 3116-3126, 2002. [22] X. Z. Yang, G. K. H. Pang and N. H. C. Yung, “Fabric defect detection using adaptive wavelet”, Proceedings of the 26th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Salt Lake City, Utah, USA, vol. 6, pp. 3697-3700, 2001. [23] Y. M. Tang and X. Z. Yang, Symmetric implicational method of fuzzy reasoning, International Journal of Approximate Reasoning, vol. 54, no. 8, pp. 1034-1048, 2013. [24] 杨学志, 叶铭，周芳,郎文辉. 采用混合特征相似性的极化SAR图像降噪算法. 电子学报, 2016. [25] 夏梦琴,杨学志,董张玉. 噪声抑制的区域级MRF多极化SAR海冰图像分割. 遥感学报, 2016.【《遥感学报》- ”SAR海冰图像分割与分类技术”专栏】 [26] 沈杨，郎文辉，吴杰，杨学志. 结合MRF与ν-SVM的SAR海冰图像分类. 遥感学报，2015.【《遥感学报》- ”SAR海冰图像分割与分类技术”专栏】 [27] 郎文辉,沈杨,昂安,张晰,吴青,杨学志. 带有区域分裂自适应细化过程的SAR海冰图像分割. 遥感学报，2015.【《遥感学报》- ”SAR海冰图像分割与分类技术”专栏】 [28] 杨学志, 刘灿俊. 采用SRRG-MRF的SAR海冰图像分割算法. 遥感学报, 2014.（2015年度遥感学报优秀论文） [29] 李琴洁, 杨学志. 采用区域Gamma混合模型的SAR图像分割. 遥感学报, 2014. [30] 杨学志，左美霞，郎文辉，张晰，孟俊敏，采用散射特征相似性的极化SAR图像相干斑抑制，遥感学报, vol. 16, no. 1，pp. 105-110, 2012. [31] 郎文辉,王建社,杨学志,王庚中. 使用多指数模型的SAR海冰图像偏差场校正. 遥感学报, vol. 15, no. 1，pp. 163-172, 2011. [32] 郎文辉, 常灿灿, 杨学志, 张杰, 孟俊敏. ScanSAR模式海冰图像的分割, 遥感学报, 2014. [33] 郎文辉, 磨玲, 杨学志, 张杰, 孟俊敏. 宽观测带SAR图像入射角效应量化研究与校正. 遥感学报, 2013. [34] 杨学志，徐勇，方静，卢洁，左美霞. 结合区域分割和双边滤波的图像去噪新算法.中国图象图形学报，vol. 17, no. 1, pp. 40-48，2012. [35] 杨学志，田晓梅，方静，卢洁. 引入纹理相似性的纺织品图像增强. 中国图象图形学报，vol. 17, no. 2, pp. 169-177，2012. [36] 卢洁，杨学志，郎文辉，左美霞，徐勇. 区域GMM聚类的SAR图像分割. 中国图象图形学报，vol. 16, no. 11, pp. 2088-2094，2011. [37] 钟莹, 杨学志. 采用结构自适应块匹配的非局部均值去噪算法. 电子与信息学报, 2013. |
