Hasil Pencarian - X.S. Zhu

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  1. 1
    ON THE CHALLENGES IN STEREOGRAMMETRIC FUSION OF SAR AND OPTICAL IMAGERY FOR URBAN AREAS

    ON THE CHALLENGES IN STEREOGRAMMETRIC FUSION OF SAR AND OPTICAL IMAGERY FOR URBAN AREAS oleh M. Schmitt, X. X. Zhu, X. X. Zhu

    Diterbitkan 2016-06-01
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  2. 2
    GRAPH NEURAL NETWORK BASED OPEN-SET DOMAIN ADAPTATION

    GRAPH NEURAL NETWORK BASED OPEN-SET DOMAIN ADAPTATION oleh S. Zhao, S. Saha, X. X. Zhu, X. X. Zhu

    Diterbitkan 2022-05-01
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  3. 3
    FUSING MULTI-MODAL DATA FOR SUPERVISED CHANGE DETECTION

    FUSING MULTI-MODAL DATA FOR SUPERVISED CHANGE DETECTION oleh P. Ebel, S. Saha, X. X. Zhu, X. X. Zhu

    Diterbitkan 2021-06-01
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  4. 4
    The Reliability Evaluation of Heavy Nc Machine Tool Based on Fuzzy Theory

    The Reliability Evaluation of Heavy Nc Machine Tool Based on Fuzzy Theory oleh X.L. Zhu

    Diterbitkan 2016-08-01
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  5. 5
    Magnetic domains and unusual hysteresis loops of yttrium iron garnet crystals revealed by magneto-optic effects

    Magnetic domains and unusual hysteresis loops of yttrium iron garnet crystals revealed by magneto-optic effects oleh X. D. Zhu

    Diterbitkan 2021-08-01
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  6. 6
    UNSUPERVISED DOMAIN ADAPTATION USING A TEACHER-STUDENT NETWORK FOR CROSS-CITY CLASSIFICATION OF SENTINEL-2 IMAGES

    UNSUPERVISED DOMAIN ADAPTATION USING A TEACHER-STUDENT NETWORK FOR CROSS-CITY CLASSIFICATION OF SENTINEL-2 IMAGES oleh J. Hu, L. Mou, X. X. Zhu, X. X. Zhu

    Diterbitkan 2020-08-01
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  7. 7
    UNCERTAINTY ASSESSMENT AND WEIGHT MAP GENERATION FOR EFFICIENT FUSION OF TANDEM-X AND CARTOSAT-1 DEMS

    UNCERTAINTY ASSESSMENT AND WEIGHT MAP GENERATION FOR EFFICIENT FUSION OF TANDEM-X AND CARTOSAT-1 DEMS oleh H. Bagheri, M. Schmitt, X. X. Zhu, X. X. Zhu

    Diterbitkan 2017-05-01
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  8. 8
    TOMOGRAPHIC SAR INVERSION FROM MIXED REPEAT- AND SINGLE-PASS DATA STACKS – THE TERRASAR-X/TANDEM-X CASE

    TOMOGRAPHIC SAR INVERSION FROM MIXED REPEAT- AND SINGLE-PASS DATA STACKS – THE TERRASAR-X/TANDEM-X CASE oleh X. X. Zhu, X. X. Zhu, R. Bamler, R. Bamler

    Diterbitkan 2012-07-01
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  9. 9
    THE SEN1-2 DATASET FOR DEEP LEARNING IN SAR-OPTICAL DATA FUSION

    THE SEN1-2 DATASET FOR DEEP LEARNING IN SAR-OPTICAL DATA FUSION oleh M. Schmitt, L. H. Hughes, X. X. Zhu, X. X. Zhu

    Diterbitkan 2018-09-01
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  10. 10
    DEEP NO LEARNING APPROACH FOR UNSUPERVISED CHANGE DETECTION IN HYPERSPECTRAL IMAGES

    DEEP NO LEARNING APPROACH FOR UNSUPERVISED CHANGE DETECTION IN HYPERSPECTRAL IMAGES oleh S. Saha, L. Kondmann, L. Kondmann, X. X. Zhu, X. X. Zhu

    Diterbitkan 2021-06-01
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  11. 11
    FUSING MULTIPLE UNTRAINED NETWORKS FOR HYPERSPECTRAL CHANGE DETECTION

    FUSING MULTIPLE UNTRAINED NETWORKS FOR HYPERSPECTRAL CHANGE DETECTION oleh S. Saha, J. Gawlikowski, J. Gawlikowski, X. X. Zhu, X. X. Zhu

    Diterbitkan 2022-05-01
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  12. 12
    A TIE POINT MATCHING STRATEGY FOR VERY HIGH RESOLUTION SAR-OPTICAL STEREOGRAMMETY OVER URBAN AREAS

    A TIE POINT MATCHING STRATEGY FOR VERY HIGH RESOLUTION SAR-OPTICAL STEREOGRAMMETY OVER URBAN AREAS oleh C. P. Qiu, M. Schmitt, X. X. Zhu, X. X. Zhu

    Diterbitkan 2017-05-01
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  13. 13
    FINE-TUNING CNNS FOR DECREASED SENSITIVITY TO NON-VOLCANIC DEFORMATION VELOCITY SIGNALS

    FINE-TUNING CNNS FOR DECREASED SENSITIVITY TO NON-VOLCANIC DEFORMATION VELOCITY SIGNALS oleh T. Beker, H. Ansari, S. Montazeri, Q. Song, X. X. Zhu, X. X. Zhu

    Diterbitkan 2022-05-01
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  14. 14
    LEARNING FROM NOISY SAMPLES FOR MAN-MADE IMPERVIOUS SURFACE MAPPING

    LEARNING FROM NOISY SAMPLES FOR MAN-MADE IMPERVIOUS SURFACE MAPPING oleh C. Qiu, P. Gamba, M. Schmitt, X. X. Zhu, X. X. Zhu

    Diterbitkan 2020-08-01
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  15. 15
    SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION

    SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION oleh M. Schmitt, L. H. Hughes, C. Qiu, X. X. Zhu, X. X. Zhu

    Diterbitkan 2019-09-01
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  16. 16
    EFFECT OF THE TRAINING SET CONFIGURATION ON SENTINEL-2-BASED URBAN LOCAL CLIMATE ZONE CLASSIFICATION

    EFFECT OF THE TRAINING SET CONFIGURATION ON SENTINEL-2-BASED URBAN LOCAL CLIMATE ZONE CLASSIFICATION oleh C. P. Qiu, M. Schmitt, P. Ghamisi, X. X. Zhu, X. X. Zhu

    Diterbitkan 2018-05-01
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  17. 17
    EXPLORING THE APPLICABILITY OF SEMI-GLOBAL MATCHING FOR SAR-OPTICAL STEREOGRAMMETRY OF URBAN SCENES

    EXPLORING THE APPLICABILITY OF SEMI-GLOBAL MATCHING FOR SAR-OPTICAL STEREOGRAMMETRY OF URBAN SCENES oleh H. Bagheri, M. Schmitt, P. d’Angelo, X. X. Zhu, X. X. Zhu

    Diterbitkan 2018-05-01
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  18. 18
    AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE

    AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE oleh M. Schmitt, L. H. Hughes, C. Qiu, X. X. Zhu, X. X. Zhu

    Diterbitkan 2019-09-01
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  19. 19
    COLORIZING SENTINEL-1 SAR IMAGES USING A VARIATIONAL AUTOENCODER CONDITIONED ON SENTINEL-2 IMAGERY

    COLORIZING SENTINEL-1 SAR IMAGES USING A VARIATIONAL AUTOENCODER CONDITIONED ON SENTINEL-2 IMAGERY oleh M. Schmitt, L. H. Hughes, M. Körner, X. X. Zhu, X. X. Zhu

    Diterbitkan 2018-05-01
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  20. 20
    Control Management of Construction Cost of Prefabricated Residential Buildings

    Control Management of Construction Cost of Prefabricated Residential Buildings oleh X. L.Zhu, H. Zhang

    Diterbitkan 2018-06-01
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