Showing 1 - 12 results of 12 for search 'P. N. Happ', query time: 0.05s Refine Results
  1. 1
    LARGE SCALE SEMANTIC SEGMENTATION OF VIRTUAL ENVIRONMENTS TO FACILITATE CORROSION MANAGEMENT

    LARGE SCALE SEMANTIC SEGMENTATION OF VIRTUAL ENVIRONMENTS TO FACILITATE CORROSION MANAGEMENT by R. L. Garcia, P. N. Happ, R. Q. Feitosa

    Published 2021-06-01
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  2. 2
    TOWARDS LIFELONG CROP RECOGNITION USING FULLY CONVOLUTIONAL RECURRENT NETWORKS AND SAR IMAGE SEQUENCES

    TOWARDS LIFELONG CROP RECOGNITION USING FULLY CONVOLUTIONAL RECURRENT NETWORKS AND SAR IMAGE SEQUENCES by J. A. Chamorro, R. Q. Feitosa, P. N. Happ, J. D. Bermudez

    Published 2021-06-01
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  3. 3
    A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION

    A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION by J. A. Chamorro, J. D. Bermudez, P. N. Happ, R. Q. Feitosa, R. Q. Feitosa

    Published 2019-09-01
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  4. 4
    Proof of concept of a novel cloud computing approach for object-based remote sensing data analysis and classification

    Proof of concept of a novel cloud computing approach for object-based remote sensing data analysis and classification by R. R. Antunes, T. Blaschke, D. Tiede, E. S. Bias, G. A. O. P. Costa, P. N. Happ

    Published 2019-05-01
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  5. 5
    SAR TO OPTICAL IMAGE SYNTHESIS FOR CLOUD REMOVAL WITH GENERATIVE ADVERSARIAL NETWORKS

    SAR TO OPTICAL IMAGE SYNTHESIS FOR CLOUD REMOVAL WITH GENERATIVE ADVERSARIAL NETWORKS by J. D. Bermudez, P. N. Happ, D. A. B. Oliveira, R. Q. Feitosa, R. Q. Feitosa

    Published 2018-09-01
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  6. 6
    EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST

    EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST by M. X. Ortega, J. D. Bermudez, P. N. Happ, A. Gomes, R. Q. Feitosa, R. Q. Feitosa

    Published 2019-09-01
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  7. 7
    HOW FAR SHOULD I LOOK? A NEURAL ARCHITECTURE SEARCH STRATEGY FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES

    HOW FAR SHOULD I LOOK? A NEURAL ARCHITECTURE SEARCH STRATEGY FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES by M. C. M. de Paulo, J. N. Turnes, P. N. Happ, M. P. Ferreira, H. A. Marques, R. Q. Feitosa

    Published 2022-05-01
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  8. 8
    MAPPING GLACIER CHANGES USING CLUSTERING TECHNIQUES ON CLOUD COMPUTING INFRASTRUCTURE

    MAPPING GLACIER CHANGES USING CLUSTERING TECHNIQUES ON CLOUD COMPUTING INFRASTRUCTURE by V. Ayma, V. Ayma, C. Beltrán, P. N. Happ, G. A. O. P. Costa, R. Q. Feitosa, R. Q. Feitosa

    Published 2019-09-01
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  9. 9
    A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES

    A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES by R. B. Andrade, J. M. F. Santos, G. A. O. P. Costa, G. L. A. Mota, P. N. Happ, R. Q. Feitosa

    Published 2019-09-01
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  10. 10
    DOMAIN ADAPTATION WITH CYCLEGAN FOR CHANGE DETECTION IN THE AMAZON FOREST

    DOMAIN ADAPTATION WITH CYCLEGAN FOR CHANGE DETECTION IN THE AMAZON FOREST by P. J. Soto, G. A. O. P. Costa, R. Q. Feitosa, P. N. Happ, M. X. Ortega, J. Noa, C. A. Almeida, C. Heipke

    Published 2020-08-01
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  11. 11
    SEMANTIC SEGMENTATION OF ENDANGERED TREE SPECIES IN BRAZILIAN SAVANNA USING DEEPLABV3+ VARIANTS

    SEMANTIC SEGMENTATION OF ENDANGERED TREE SPECIES IN BRAZILIAN SAVANNA USING DEEPLABV3+ VARIANTS by D. L. Torres, R. Q. Feitosa, L. E. C. La Rosa, P. N. Happ, J. Marcato Junior, W. N. Gonçalves, J. Martins, V. Liesenberg

    Published 2020-11-01
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  12. 12
    FIRST RESULTS OF THE LEM BENCHMARK DATABASE FOR AGRICULTURAL APPLICATIONS

    FIRST RESULTS OF THE LEM BENCHMARK DATABASE FOR AGRICULTURAL APPLICATIONS by I. D. Sanches, R. Q. Feitosa, B. Montibeller, P. M. Achanccaray Diaz, A. J. B. Luiz, M. D. Soares, V. H. R. Prudente, D. C. Vieira, L. E. P. Maurano, P. N. Happ, J. Chamorro, L. V. Oldoni

    Published 2020-08-01
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