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The study on the exploratory spatial data mining method based on partial random walk and its application in GPS TEC analysis.

J. Peng, K. Qin, H. Yang, and L. Cheng. ICSDM, page 112-115. IEEE, (2011)

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Changgeng Peng

Xiao-Wei Peng

Martin Peng

Jianqiang Peng

Guo Peng

Other publications of authors with the same name

A Novel Near-Real-Time GB-InSAR Slope Deformation Monitoring Method.Y. Su, H. Yang, J. Peng, Y. Liu, B. Zhao, and M. Shi. Remote. Sens., 14 (21): 5585 (2022)The 10-meter Winter Wheat Mapping in Shandong Province Using Sentinel-2 Data and Coarse Resolution Maps.X. Qi, Y. Wang, J. Peng, L. Zhang, W. Yuan, and X. Qi. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Spatial and Temporal Evolution of Ground Subsidence in the Beijing Plain Area Using Long Time Series Interferometry.Y. Zheng, J. Peng, X. Chen, C. Huang, P. Chen, S. Li, and Y. Su. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)The study on the exploratory spatial data mining method based on partial random walk and its application in GPS TEC analysis.J. Peng, K. Qin, H. Yang, and L. Cheng. ICSDM, page 112-115. IEEE, (2011)A novel unsupervised classification approach for hyperspectral imagery based on spectral mixture model and MARKOV random field.Y. Fang, L. Xu, X. Sun, L. Yang, Y. Chen, and J. Peng. IGARSS, page 2450-2453. IEEE, (2016)Deformation Characteristics and Activation Dynamics of the Xiaomojiu Landslide in the Upper Jinsha River Basin Revealed by Multi-Track InSAR Analysis.X. Ma, J. Peng, Y. Su, M. Shi, Y. Zheng, X. Li, and X. Jiang. Remote. Sens., 16 (11): 1940 (June 2024)Unsupervised Bayesian Classification of a Hyperspectral Image Based on the Spectral Mixture Model and Markov Random Field.Y. Fang, L. Xu, J. Peng, H. Yang, A. Wong, and D. Clausi. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (9): 3325-3337 (2018)Long-Term SAR Data Analysis for Subsidence Monitoring and Correlation Study at Beijing Capital Airport.Y. Zheng, J. Peng, C. Li, X. Chen, Y. Peng, X. Ma, and M. Huang. Remote. Sens., 16 (3): 445 (February 2024)DFLLR: Deep Feature Learning With Latent Relationship Embedding for Remote Sensing Image Retrieval.L. Liu, Y. Wang, J. Peng, and A. Plaza. IEEE Trans. Geosci. Remote. Sens., (2022)Denoising of hyperspectral imagery using an intrinsic spectral representation model with spatial smoothness constraint.L. Yang, L. Xu, X. Sun, Y. Fang, Y. Chen, and J. Peng. IGARSS, page 4267-4270. IEEE, (2016)

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Disambiguation of "Peng, Junhuan"

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The study on the exploratory spatial data mining method based on partial random walk and its application in GPS TEC analysis.

Please choose a person to relate this publication to

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Jianqiang Peng

Guo Peng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peng, Junhuan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The study on the exploratory spatial data mining method based on partial random walk and its application in GPS TEC analysis.

Please choose a person to relate this publication to

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Jianqiang Peng

Guo Peng

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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The study on the exploratory spatial data mining method based on partial random walk and its application in GPS TEC analysis.