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TOWARDS LIFELONG CROP RECOGNITION USING FULLY CONVOLUTIONAL RECURRENT NETWORKS AND SAR IMAGE SEQUENCES.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2021, n. B2, p. 923, doi. 10.5194/isprs-archives-XLIII-B2-2021-923-2021
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LARGE SCALE SEMANTIC SEGMENTATION OF VIRTUAL ENVIRONMENTS TO FACILITATE CORROSION MANAGEMENT.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2021, n. B2, p. 465, doi. 10.5194/isprs-archives-XLIII-B2-2021-465-2021
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FIRST RESULTS OF THE LEM BENCHMARK DATABASE FOR AGRICULTURAL APPLICATIONS.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2020, v. 43, n. B5, p. 251, doi. 10.5194/isprs-archives-XLIII-B5-2020-251-2020
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DOMAIN ADAPTATION WITH CYCLEGAN FOR CHANGE DETECTION IN THE AMAZON FOREST.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2020, v. 43, n. B3, p. 1635, doi. 10.5194/isprs-archives-XLIII-B3-2020-1635-2020
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SEMANTIC SEGMENTATION OF ENDANGERED TREE SPECIES IN BRAZILIAN SAVANNA USING DEEPLABV3+ VARIANTS.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2020, v. XLII-3/W12, p. 355, doi. 10.5194/isprs-archives-XLII-3-W12-2020-355-2020
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MAPPING GLACIER CHANGES USING CLUSTERING TECHNIQUES ON CLOUD COMPUTING INFRASTRUCTURE.
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- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2019, v. XLII-2/W16, p. 29, doi. 10.5194/isprs-archives-XLII-2-W16-29-2019
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HOW FAR SHOULD I LOOK? A NEURAL ARCHITECTURE SEARCH STRATEGY FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2022, n. 3, p. 17, doi. 10.5194/isprs-annals-V-3-2022-17-2022
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A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2019, v. 4, n. 2/W7, p. 25, doi. 10.5194/isprs-annals-IV-2-W7-25-2019
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A COMPARISON BETWEEN THE HADOOP AND SPARK DISTRIBUTED FRAMEWORKS IN THE CONTEXT OF REGION-GROWING SEGMENTATION OF REMOTE SENSING IMAGES.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2019, v. 4, n. 2/W7, p. 3, doi. 10.5194/isprs-annals-IV-2-W7-3-2019
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A COMPARATIVE ANALYSIS OF UNSUPERVISED AND SEMI-SUPERVISED REPRESENTATION LEARNING FOR REMOTE SENSING IMAGE CATEGORIZATION.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2019, v. 4, n. 2/W7, p. 167, doi. 10.5194/isprs-annals-IV-2-W7-167-2019
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EVALUATION OF DEEP LEARNING TECHNIQUES FOR DEFORESTATION DETECTION IN THE AMAZON FOREST.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2019, v. 4, n. 2/W7, p. 121, doi. 10.5194/isprs-annals-IV-2-W7-121-2019
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SAR TO OPTICAL IMAGE SYNTHESIS FOR CLOUD REMOVAL WITH GENERATIVE ADVERSARIAL NETWORKS.
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- ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 2018, v. 4, n. 1, p. 5, doi. 10.5194/isprs-annals-IV-1-5-2018
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