Search Results - "Ortega, X."

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    Unsupervised multi-target domain adaptation for deforestation detection in tropical rainforest by Ortega Adarme, Mabel X., da Costa, Gilson A. O. P., Soto Vega, Pedro J., Heipke, Christian, Feitosa, Raul Q.

    “…Geographic variability of the classes of interest, differences in sensor characteristics and changes in atmospheric conditions during image acquisition, among…”
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    Journal Article
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    A DEBIASING VARIATIONAL AUTOENCODER FOR DEFORESTATION MAPPING by Ortega Adarme, M. X., Soto Vega, P. J., Costa, G. A. O. P., Feitosa, R. Q., Heipke, C.

    “…Deep Learning (DL) algorithms provide numerous benefits in different applications, and they usually yield successful results in scenarios with enough labeled…”
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    Journal Article Conference Proceeding
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    MULTI-ATTENTION GHOSTNET FOR DEFORESTATION DETECTION IN THE AMAZON RAINFOREST by Ortega Adarme, M. X., Costa, G. A. O. P., Feitosa, R. Q.

    “…Efficient deforestation detection techniques are essential to monitor and control illegal logging, thus reducing forest loss and carbon emissions in the Amazon…”
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    Journal Article
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    Deep network based approaches to mitigate seasonal effects in SAR images for deforestation monitoring by Neves, Carla N., Ortega Adarme, Mabel X., Feitosa, Raul Q., Doblas Prieto, Juan, Giraldi, Gilson A.

    “…Most deforestation monitoring programs are based on optical images, which are severely affected by clouds, especially in tropical regions. As an alternative,…”
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    Journal Article
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    USING TIME SERIES IMAGE DATA TO IMPROVE THE GENERALIZATION CAPABILITIES OF A CNN – THE EXAMPLE OF DEFORESTATION DETECTION WITH SENTINEL-2 by Ortega, M. X., Wittich, D., Rottensteiner, F., Heipke, C., Feitosa, R. Q.

    “…Deforestation is considered one of the main causes of global warming and biodiversity reduction. Therefore, early detection of deforestation processes is of…”
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    Journal Article
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    DEFORESTATION DETECTION WITH WEAK SUPERVISED CONVOLUTIONAL NEURAL NETWORKS IN TROPICAL BIOMES by Soto, P. J., Costa, G. A. O. P., Ortega, M. X., Bermudez, J. D., Feitosa, R. Q.

    “…Deep learning methods are known to demand large amounts of labeled samples for training. For remote sensing applications such as change detection, coping with…”
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    Journal Article Conference Proceeding
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    EVALUATION OF SEMANTIC SEGMENTATION METHODS FOR DEFORESTATION DETECTION IN THE AMAZON by Andrade, R. B., Costa, G. A. O. P., Mota, G. L. A., Ortega, M. X., Feitosa, R. Q., Soto, P. J., Heipke, C.

    “…Deforestation is a wide-reaching problem, responsible for serious environmental issues, such as biodiversity loss and global climate change. Containing…”
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    Journal Article Conference Proceeding
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    DOMAIN ADAPTATION WITH CYCLEGAN FOR CHANGE DETECTION IN THE AMAZON FOREST by Soto, P. J., Costa, G. A. O. P., Feitosa, R. Q., Happ, P. N., Ortega, M. X., Noa, J., Almeida, C. A., Heipke, C.

    “…Deep learning classification models require large amounts of labeled training data to perform properly, but the production of reference data for most Earth…”
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    Journal Article Conference Proceeding
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