Dr.-Ing.

Jianqing Cai

Akademischer Mitarbeiter

Kontakt

+49 711 685-83391

Visitenkarte (VCF)

Geschwister-Scholl-Str. 24/D
70174 Stuttgart
Deutschland
Raum: 6.351

  1. 2019

    1. Nie, Y., Shen, Y., Chen, Q., Cai, J., & Sneeuw, N. (2019). Synergistic Observation Analysis of GRACE Follow-On and Chinese Future TianQin-II Mission. Frontiers of Geodetic Science 2019, Stuttgart, Germany, 17--19 September 2019.
    2. Lin, Y., Li, X., Zhang, T., Li, W., Yu, J., Sneeuw, N., & Cai, J. (2019). Estimation of water volume variations for large-scale lake based on multi-source satellite data. IUGG, 8-18 July 2019, Montreal, Canada.
    3. Gao, Y., Cai, J., & Sneeuw, N. (2019). Applying directional statistics to GNSS carrier phase observations and to spherical harmonic phase spectra. Frontiers of Geodetic Science 2019, Stuttgart, Germany, 17--19 September 2019.
    4. Zhang, T., Lin, Y., Cai, J., & Sneeuw, N. (2019). Accuracy evaluation and comparison of an optimized learning method on remote sensing imagery classification. Frontiers of Geodetic Science 2019, Stuttgart, Germany, 17--19 September 2019.
    5. Cai, J., Qian, K., Sneeuw, N., Lin, Y., & Li, W. (2019). A-optimal design Regularization and its Applications in Extreme Learning Machine for Regression Analysis and Multi-class Classification. IUGG, Montréal, Canada, 8--18 July 2019,.
  2. 2018

    1. Lin, Yi, Yu, J., Cai, J., Sneeuw, N., & Li, F. (2018). Spatio-Temporal Analysis of Wetland Changes Using a Kernel Extreme Learning Machine Approach. Remote Sensing, 10(7), 1129. https://doi.org/10.3390/rs10071129
    2. Cai, J., Dong, D., Sneeuw, N., & Yao, Y. (2018). Converted total least squares method and Gauss-Helmert model with applications in coordinate transformations. Hotine-Marussi Symposium 2018, Rome, 18-22 June 2018.
  3. 2017

    1. Cai, J., Qian, K., Sneeuw, N., Wang, C., & Wang, J. (2017). The optimal regularization ($\alpha$-weighted BLE via A-optimal design) and its application in GNSS-based ionospheric tomography. IAG-IASPEI Symposium, Kobe, Japan.
    2. Cai, J., Qian, K., & Sneeuw, N. (2017). Revisiting of the determination of proper regularization parameter: $\alpha$-Weighted BLE via A-optimal design and its comparison with numerical methods and ridge regression. Geodetic Week, Berlin, Germany.
    3. Lin, Y, Ji, H., Ye, Q., Cai, J., & Sneeuw, N. (2017). Research on an Optimal ELM Classification Model for Remote Sensing Image with Artificial Fish-swarm Algorithm. Geodetic Week, Berlin, Germany.
    4. Dong, D., Cai, J., & Sneeuw, N. (2017). Converted Total Least Squares method and its application in coordinate transformation. Geodetic Week, Berlin, Germany.
    5. Jiang, W., Yuan, P., Chen, H., Cai, J., Li, Z., Chao, N., & Sneeuw, N. (2017). Annual variations of monsoon and drought detected by GPS: A case study in Yunnan, China. Scientific Reports, 7(Article no. 5874), 1--10. https://doi.org/10.1038/s41598-017-06095-1
    6. Gao, Y., Cai, J., & Sneeuw, N. (2017). Analysis of coordinate transformation with different polynomial models. Geodetic Week, Berlin, Germany.
  4. 2016

    1. Li, J., Sneeuw, N., Jiang, W., Cai, J., Chu, Y., & Jin, T. (2016). The lake level monitoring in China from satellite altimetric missions. Dragon 3 Final Results Symposium, Wuhan.
    2. Sneeuw, N., Li, J., Cai, J., Jiang, W., Xu, X., Chu, Y., … Tourian, M. (2016). Current and Future Geodetic Satellite Missions for Global Change Monitoring. China Dragon Programme III, Chengdu, PR China.
    3. Sneeuw, N., Li, J., Cai, J., Jiang, W., Tourian, M., Elmi, O., … Jin, T. (2016). Current and future geodetic satellite missions for global change monitoring. Dragon 3 Final Results Symposium, Wuhan, China.
  5. 2015

    1. Lin, Y, Yu, J., Shen, M., Cai, J., & Sneeuw, N. (2015). The Spatio-temporal Dynamic Analysis of Wetland Evolution Process in Chongming Dongtan Using Remote Sensing Data. IUGG, Prague, Czech Republic.
  6. 2014

    1. Cai, J., & Sneeuw, N. (2014). Stochastic modeling of GOCE gravitational tensor invariants. In F. Flechtner, N. Sneeuw, & W. D. Schuh (Eds.), GEOTECHNOLOGIEN Science Report (pp. 115--121; By F. Flechtner, N. Sneeuw, & W. D. Schuh). https://doi.org/10.1007/978-3-642-32135-1_15
    2. Sneeuw, N., Cai, J., & Tourian, M. J. (2014). Current and Future Geodetic Satellite Missions for Global Change Monitoring GSM4GCM. Dragon 3 Mid-Term Results Symposium, Chengdu, China.
    3. Sneeuw, N., Li, J., Baur, O., Cai, J., Tourian, M. J., Elmi, O., … Maier, A. (2014). Current and Future Geodetic Satellite Missions for Global Change Monitoring. (ESA SP-724), 6.
  7. 2011

    1. Zhang, S., Sneeuw, N., Cai, J., & Li, J. (2011). Zero-difference ambiguity fixing for PPP and precise orbit determination. Geodätische Woche, Nürnberg, Germany.
    2. Cai, J., Sneeuw, N., Yang, Q., & Baur, O. (2011c). Stochastic modeling of GOCE invariants in real data analysis. IUGG, Melbourne, Australia.
    3. Cai, J. (2011b). Revisiting the search criteria for solving the mixed integer-real valued adjustment problem with GNSS carrier phase observations. The 2nd China Satellite Navigation Conference (CSNC 2011), Shanghai, China.
    4. Schall, J., Baur, O., Brockmann, J. M., Cai, J., Eicker, A., Kargoll, B., … Sneeuw, N. (2011). Real data Analysis GOCE -- Gravity field determination from GOCE. BMBF Geotechnologien Statusseminar “Erfassung des Systems Erde aus dem Weltraum IV”, Stuttgart, Germany.
    5. Zou, X., Cai, J., Sneeuw, N., & Li, J. (2011). Numerical study on the mixed model in the GOCE polar gap problem. 14(3), 216--222. https://doi.org/10.1007/s11806-011-0532-x
    6. Cai, J., Sneeuw, N., Yang, Q., & Baur, O. (2011b). Implementing a stochastic model for GOCE invariants. 4th GOCE User Workshop, ESA, Munich, Germany.
    7. Cai, J., Sneeuw, N., & Baur, O. (2011). GOCE gravity field model derived from the rotational invariants of the gravitational tensor. BMBF Geotechnologien Statusseminar “Erfassung des Systems Erde aus dem Weltraum IV”, Stuttgart, Germany.
    8. Cai, J., Sneeuw, N., Yang, Q., & Baur, O. (2011a). GOCE gravity field model derived from rotational invariants. Retrieved from http://www.uni-stuttgart.de/gi/research/Geodaetische_Woche/2011/Session2/S2-16-Cai.pdf
    9. Cai, J. (2011a). Biased and unbiased estimations in geodetic data analyses. QuGOMS -- The 1st International Workshop on the Quality of Geodetic Observation and Monitoring Systems, Munich, Germany.
    10. Lin, Y, Zhang, S., Cai, J., & Sneeuw, N. (2011). Application of wavelet support vector regression on SAR data de-noising. 22(4), 579--586. https://doi.org/10.3969/j
  8. 2010

    1. Baur, O., Cai, J., & Sneeuw, N. (2010). Spectral approaches to solving the polar gap problem. In F. Flechtner, T. Gruber, A. Güntner, M. Mandea, M. Rothacher, T. Schöne, & J. Wickert (Eds.), System Earth via Geodetic-Geophysical Space Techniques, (pp. 243--253; By F. Flechtner, T. Gruber, A. Güntner, M. Mandea, M. Rothacher, T. Schöne, & J. Wickert). https://doi.org/10.1007/978-3-642-10228-8_19
    2. Brockmann, J. M., Baur, O., Cai, J., Eicker, A., Kargoll, B., Krasbutter, I., … Sneeuw, N. (2010). REal data AnaLysis GOCE Gravity field determination from GOCE. BMBF Geotechnologien Statusseminar: “Erfassung des Systems Erde aus dem Weltraum III”, Bonn, Germany.
    3. Cai, J. (2010b). Optimal solutions to geodetic inverse problems in statistical and numerical aspects. Retrieved from http://www.uni-stuttgart.de/gi/research/Geodaetische_Woche/2010/session6/cai.pdf
    4. Cai, J., Baur, O., & Sneeuw, N. (2010). GOCE gravity field determination by means of rotational invariants: first experiences. BMBF Geotechnologien Statusseminar: “Erfassung des Systems Erde aus dem Weltraum III”, Bonn, Germany.
    5. Baur, O., N, S., Cai, J., & Roth, M. (2010). GOCE data analysis: realization of the invariants approach in a high performance computing environment. ESA Living Planet Symposium, Bergen, Norway.
    6. Baur, O., Sneeuw, N., Cai, J., & Roth, M. (2010). GOCE data analysis: realization of the invariants approach in a high performance computing environment. Proceedings of the ESA Living Planet Symposium, Bergen, Norway, ESA SP-686.
    7. Cai, J. (2010a). Bootstrap method and its application to the hypothesis testing in GPS mixed integer linear model. 2010 International Symposium on GPS/GNSS, Taipei, Taiwan.
  9. 2009

    1. Cai, J., Grafarend, E., & Hu, C. (2009c). The total optimal criterion in solving the mixed integer linear model with GNSS carrier phase observations. 13(3), 221--230. https://doi.org/10.1007/s10291-008-0115-y
    2. Cai, J., & Grafarend, E. (2009). Systematical analysis of the transformation between Gauss-Krueger-Coordinate/DHDN and UTM-Coordinate/ETRS89 in Baden-Wuerttemberg with different estimation methods. In H. Drewes (Ed.), Geodetic Reference Frames, Proceedings of the IAG Symposium, Munich, Germany (pp. 205--211; By H. Drewes). https://doi.org/10.1007/978-3-642-00860-3_32
    3. Cai, J., Grafarend, E., & Hu, C. (2009b). Reconciling different criteria for solving the mixed integer linear model with GNSS carrier phase observations. VII Hotine-Marussi Symposium on Theoretical Geodesy, Rome, Italy.
    4. Xu, C., Ding, K., Cai, J., & Grafarend, E. (2009). Methods of determining weight scaling factors for geodetic-geophysical joint inversion. 47(1), 39--46. https://doi.org/10.1016/j.jog.2008.06.005
    5. Baur, O., Sneeuw, N., & Cai, J. (2009). GOCE Realdatenauswertung unter Anwendung der Invariantendarstellung, Projekttreffen REAL-GOCE. Geodätische Woche, Karlsruhe, Germany.
    6. Cai, J., Grafarend, E., & Hu, C. (2009a). Bootstrap method and its application to the hypothesis testing in GPS mixed integer linear model. Retrieved from http://igsac-cnes.cls.fr/documents/egu09/Cai_EGU_Lecture_21_04_2009.pdf
    7. Cai, J. (2009). Bootstrap analysis methods for linear model and its applications in GNSS data processing. Geodätische Woche, Karlsruhe, Germany.
    8. Lin, Y, Zhang, S., Cai, J., & Sneeuw, N. (2009). Application of Wavelet Support Vector Regression on SAR data Denoising. Geodätische Woche, Karlsruhe, Germany.
  10. 2008

    1. Cai, J., Grafarend, E., Hu, C., & Wang, J. (2008). The uniform Tykhonov-Phillips regularization (?-weighted S-homBLE) and its application in GPS rapid static positioning. In P. Xu, J. Liu, & A. Dermanis (Eds.), VI Hotine-Marussi Symposium on Theoretical and Computational Geodesy, Wuhan, PR China (pp. 221--229; By P. Xu, J. Liu, & A. Dermanis). https://doi.org/10.1007/978-3-540-74584-6_35
    2. Cai, J., Sneeuw, N., Zou, X., & Baur, O. (2008). The study of the combination approaches in solving the polar gap problems. IAG International Symposium on Gravity, Geoid and Earth Observations (GGEO 2008), Chania, Crete, Greece.
    3. Cai, J., Koivula, H., Grafarend, E., & Poutanen, M. (2008). The statistical analysis of the eigenspace components of the strain rate tensor derived from FinnRef GPS measurements (1997--2004) in Fennoscandia. In P. Xu, J. Liu, & A. Dermanis (Eds.), VI Hotine-Marussi Symposium on Theoretical and Computational Geodesy, Wuhan, PR China (pp. 79--87; By P. Xu, J. Liu, & A. Dermanis). https://doi.org/10.1007/978-3-540-74584-6_13
    4. Cai, J., Wu, J., Lin, Y., Wang, J., & Grafarend, E. (2008). Systematic analysis of the present-day crustal deformation in Shanghai based on the multi-epoch GPS measurements. International Symposium on GPS/GNSS 2008, Tokyo, Japan.
    5. Cai, J., Hu, C., & Grafarend, E. (2008b). Statistical property of the GNSS carrier phase observations and the related hypothesis testing with the bootstrap methods. International Symposium on GPS/GNSS 2008, Tokyo, Japan.
    6. Cai, J., Wang, J., Wu, J., Hu, C., Grafarend, E., & Chen, J. (2008). Horizontal deformation rate analysis based on multi-epoch GPS measurements in Shanghai. 134(4), 132--137. https://doi.org/10.1061/(asce)0733-9453(2008)134:4(132)
    7. Cai, J., Hu, C., & Grafarend, E. (2008a). Directional statistics and statistical property of the GNSS carrier phase observations. Geodätische Woche, Bremen, Germany.
    8. Zou, X., Li, J., Sneeuw, N., & Cai, J. (2008). Developments in satellite gravity data analysis at Wuhan University. Geodätische Woche, Bremen, Germany.
    9. Wu, J., Cai, J., Hu, C., Xiao, F., & Liu, C. (2008). A quaternary prototype for spatiotemporal analysis of permanent scatter interferometry. XXXVII Part B7, 157--160. Retrieved from http://www.isprs.org/proceedings/XXXVII/congress/7_pdf/2_WG-VII-2/16.pdf
  11. 2007

    1. Cai, J., Grafarend, E., & Hu, C. (2007). The Statistical Property of the GNSS Carrier Phase Observations and its Effects on the Hypothesis Testing of the Related Estimators. Proceedings of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2007), 331--338. Fort Worth, Texas, USA.
    2. Cai, J., Hu, C., & Grafarend, E. (2007). The Optimal Regularization Method and its Application in GNSS Rapid Static Positioning. Proceedings of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2007), 299--305. Fort Worth, Texas, USA.
    3. Cai, J., & Grafarend, E. (2007b). Statistical analysis of the eigenspace components of the two-dimensional, symmetric rank-two strain rate tensor derived from the space geodetic measurements (ITRF92-ITRF2000 data sets) in central Mediterranean and Western Europe. 168(2), 449--472. https://doi.org/10.1111/j.1365-246X.2006.03153.x
    4. Cai, J., & Grafarend, E. (2007a). Statistical analysis of geodetic deformation (strain rate) derived from the space geodetic measurements of BIFROST Project in Fennoscandia. 43(2), 214--238. https://doi.org/10.1016/j.jog.2006.09.010
    5. Siemes, C., Schuh, W., Cai, J., Sneeuw, N., & Baur, O. (2007). GOCE data processing: the numerical challenge of data gaps. Status Seminar, Munich, Germany.
  12. 2005

    1. Cai, J., Grafarend, E., & Schaffrin, B. (2005). Statistical inference of the eigenspace components of a two-dimensional, symmetric rank-two random tensor. 78(7), 425--436. https://doi.org/10.1007/s00190-004-0405-2
  13. 2004

    1. Cai, J., & Grafarend, E. (2004). The Analysis of the Eigenspace Components of the Strain Rate Tensor in Central Mediterranean and Western Europe, 1992--2000. 6, 06239.
    2. Cai, J., Grafarend, E., & Schaffrin, B. (2004). The A-optimal regularization parameter in uniform Tykhonov-Phillips regularization — ?-weighted BLE. In F. Sansò (Ed.), V. Hotine-Marussi Symposium on Mathematical Geodesy (pp. 309–324; By F. Sansò). https://doi.org/10.1007/978-3-662-10735-5_41
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