近期论文
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专著与翻译
YU Xianchuan*, HU Dan, XU Jindong, Blind Source Separation: Theory and Applications, Wiley Press,2013
余先川, 胡丹著. 盲源分离理论与应用. 北京：科学出版社, 2011.1.（获2009年度中国科学院科学出版基金支持）
贺辉，余先川，胡丹著. 模糊不确定性建模分析及应用. 北京：科学出版社, 2017
田文武，余先川等，见：武向平主编，中国SKA 科学报告，北京：科学出版社, 2019.11， ISBN3.978-7-03-062979-1
Xianchuan YU* ,Ting ZHANG, Wei ZHOU, Independent Component Analysis and its Applications to Manufacturing Problems, Chapter XVII : Handbook of Computational Intelligence in Manufacturing and Production Management, Information Science Reference, Hershey, New York, 316-344，2007
彭望琭*, 余先川, 贺辉, 陈红顺等译. Thomas M Lillesand; Ralph W Kiefer著. 遥感与图像解译（原书第7版）. 北京：电子工业出版社. 2016-04-01
彭望琭*, 余先川, 周涛,等译. Thomas M Lillesand; Ralph W Kiefer著. 遥感与图像解译. 北京:电子工业出版社. 2003
王世称*，马生忠，余先川，综合信息矿产资源定量评价理论体系，见：王鸿祯主编，中国地质科学发展的回顾，北京：中国地质大学出版社，1995:203-208.
代表性论文
Zhao Zhengang, Wang Hao and YU Xianchuan*. Spectral-Spatial Graph Attention Network for Semisupervised Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters, 2022,19:1-5
Zhao Zhengang, D. Hu, H. Wang and YU Xianchuan*. Center Attention Network for Hyperspectral Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021,14：3415-3425 .
Yu, XC *, Wang, SC,Wang Hao. Detection of Geochemical Element Assemblage Anomalies Using a Local Correlation Approach, Journal Of Earth Science, 2021, 32(2):7
Yan Ruiqing, Yu Xianchuan*. Radio frequency interference detection based on the AC-UNet model, Research in Astronomy and Astrophysics , 2021, 21(5):11
Zhao Zhengang, Yu Xianchuan*. Minimum Distance Constrained Sparse Autoencoder Network for Hyperspectral Unmixing, Journal of Applied Remote Sensing, 2020,14:1-15.
Yan R Q , Liu W , Zhu M , Yu X*..Real-time abnormal light curve detection based on a Gated Recurrent Unit network. Research in Astronomy and Astrophysics, 2020, 20(1):007-
Hu D , Jiang T , Yu X. , Construction of Non-convex Fuzzy Sets and Its Application Neurocomputing, 2019, 393
Xing H , He H , Hu D , et al. Construction of Non-convex Fuzzy Sets and Its Application. Computers & Geosciences, 2019, 133. DOI:10.1016/j.neucom.2018.10.111
Hui, HE, Haihua, YU Xianchuan*. Novel fuzzy uncertainty modeling for land cover classification based on clustering analysis. Science China(Earth Sciences), 2019, 62(02):94-106.
Zhu M, Liu W, Wang B Y, Yu X C*. Extracting Filaments Based on Morphology Components Analysis from Radio Astronomical Images. Advances in Astronomy, 2019, 2019(2, article 6298):1-11.
Su, ZZ, Yu, XC; General interval approach for encoding words into interval type-2 fuzzy sets based on normal distribution and free parameter, Soft Computing , 2019, DOI: 10.1007/s00500-018-3454-9
Liu, W. , Zhu, M. , Dai, C. , He, D. Y. , & Yu, X. C*. Classification of large-scale stellar spectra based on deep convolutional neural network, Monthly Notices of the Royal Astronomical Society, 2019, 483(4):4774-4783. (SCI Top)
Liu, W. , Zhu, M. , Dai, C. , Wang, B. Y. , Wu, K. , & Yu, X. C*. A deep learning approach for detecting candidates of supernova remnants, Research in Astronomy and Astrophysics, 2019, 19(3):12.
Zhan, Y. , Hu, D. , Wang, Y. , & Yu, X*. Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks，IEEE Geoscience and Remote Sensing Letters, 2018, 15(2):1-5.（多年Web of Science高被引）
T Jiang，D Hu，X Yu; Enhanced IT2FCM algorithm using object-based triangular fuzzy set modeling for remote-sensing clustering，Computers & Geosciences , 2018,DOI: 10.1016/j.cageo.2018.05.009
Hu, D(Hu, Dan), Yu, XC； Statistical Inference in Rough Set Theory Based on Kolmogorov–Smirnov Goodness-of-Fit Test, IEEE Transactions On Fuzzy Systems, 2017 (Top SCI) 10.1109/TFUZZ.2016.2578344
Zhan, Y , Yu, XC *. Hyperspectral Band Selection Based on Deep Convolutional Neural Network and Distance Density，IEEE Geoscience and Remote Sensing Letters, 2017,DOI:10.1109/LGRS.2017.2765339
He, H , Yu, XC . Remote sensing clustering analysis based on object-based interval modeling, Computers & Geosciences , 2016 10.1016/j.cageo.2016.06.006
He H , Hu D , Yu X C* . Land Cover Classification Based on Adaptive Interval-Valued Type-2 Fuzzy Clustering Analysis, Chinese Journal of Geophysics, 2016:712-720
Xu, JD, Yu, XC . A Remote Sensing Image Fusion Method Based on Feedback Sparse Component Analysis，Computers & Geosciences, 2015, DOI: 10.1016/j.cageo.2015.09.022
YU Xianchuan*,HE Hui,HU Dan,ZHOU Wei ,et al. Land Cover Classification of Remote Sensing Imagery based Based on Interval-valued Data Fuzzy C-Means Algorithm，Science China Earth Sciences.2014, 57:1306–1313
Jindong Xu; Xianchuan Yu*; Dan Hu; Libao Zhang.A fast mixing matrix estimation method in the wavelet domain. Signal processing.2014, 95:58-66
Hu, D(Hu, Dan), Yu, XC；Statistical Inference of Rough Set Dependence and Importance Analysis， IEEE Transaction on Fuzzy Systems ，2013 Statistical Inference of Rough Set Dependence and Importance Analysis (SCI Top)
Yu Xianchuan*, Lyu Zhonghua, Hu Dan,Xu Jingdong. Scale-Invariant Feature Transform Based on the Frequency Spectrum and the Grid for Remote Sensing Image Registration，GIScience & Remote Sensing，2013, 50（5）:543-561
Yu Xian-chuan*,Xu Jin-donga,Hu Dan, Xing Hai-hua. A new blind image source separation algorithm based on feedback sparse component analysis. Signal processing, 2013, 93(1): 288-296.
YU Xian-chuan*,CAO Hen-zhi et al. Remote Sensing Image Fusion Based on Integer Wavelet Transformation and Ordered Nonnegative Independent Component Analysis, GIScience & Remote Sensing,2012,49(3)
YU Xian-Chuan*, DAI Sha , HU Dan, JIANG Qi-Yu. HHFNN based on Lasso Function and its application in remote sensing image classification, Chinese Journal of Geolihysics,2011,54 (6): 1672-1678
Yu Xian-chuan*, Chu Xiao-feng, Cao Heng-zhi, Hu Dan. Mixed-pixel Decomposition of SAR Images Based on Single-pixel ICA with Selective Members .GIScience & Remote Sensing, 2011, 48(1):130-140
YU Xian-Chuan*, CHU Xiao-Feng, CAO Heng-Zhi. Decomposition of mixed pixels of SAR remote sensing images based on partheno-Genetic Algorithm. Chinese Journal of Geophysics-Chinese Edition.2009,52 (6): 1334-1341
Hu, Dan*; Li, Hongxing; Yu, Xianchuan. The information content of fuzzy relations and fuzzy rules. Computers & Mathematics with Applications, 2009, 57(2): 202-216
HU Dan*, Li HongXing, YU Xianchuan. The information content of rules and rule sets and its application. Science in China Series F: Information Sciences,2008,51(2):1958-1979
Shicheng Wang*, Yongqing Chen, Xianchnan Yu, Keyan Xiao, Guangsheng Yan. Quantitative prediction and Evaluation of Mineral Resources. Episodes, 1995,18 (1-2): 87-90
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