Search Results - "Cantu, Fernando J. Pena"

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  1. 1
    MMSeaIce: a collection of techniques for improving sea ice mapping with a multi-task model

    MMSeaIce: a collection of techniques for improving sea ice mapping with a multi-task model by Chen, Xinwei, Patel, Muhammed, Pena Cantu, Fernando J, Park, Jinman, Noa Turnes, Javier, Xu, Linlin, Scott, K. Andrea, Clausi, David A

    Published in The cryosphere (08-04-2024)
    “…The AutoICE challenge, organized by multiple national and international agencies, seeks to advance the development of near-real-time sea ice products with…”
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  2. 2
    A comparative study of data input selection for deep learning-based automated sea ice mapping

    A comparative study of data input selection for deep learning-based automated sea ice mapping by Chen, Xinwei, Cantu, Fernando J. Pena, Patel, Muhammed, Xu, Linlin, Brubacher, Neil C., Scott, K. Andrea, Clausi, David A.

    “…The precise monitoring of sea ice parameters, including sea ice concentration and stage of development, is imperative for tactical navigation. Recent studies…”
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  3. 3
    Incidence Angle Dependence of Texture Features From Dual Polarization Radarsat-2 Sea Ice Imagery

    Incidence Angle Dependence of Texture Features From Dual Polarization Radarsat-2 Sea Ice Imagery by Pena Cantu, Fernando J., Chen, Xinwei, Xu, Linlin, Manning, Max Ian A., Andrea Scott, K., Clausi, David A.

    “…This study investigates the relationship between gray-level co-occurrence matrix (GLCM) texture features and synthetic aperture radar (SAR) incidence angle…”
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  4. 4
    The Influence of Input Variable Selection on Deep Learning-Based Sea Ice Parameter Inversion from Multi-Sensor Satellite Data

    The Influence of Input Variable Selection on Deep Learning-Based Sea Ice Parameter Inversion from Multi-Sensor Satellite Data by Chen, Xinwei, Patel, Muhammed, Cantu, Fernando J. Pena, Park, Jinman, Turnes, Javier Noa, Jiang, Mingzhe, Xu, Linlin, Scott, K. Andrea, Clausi, David A., Huang, Weimin

    Published in OCEANS 2023 - MTS/IEEE U.S. Gulf Coast (25-09-2023)
    “…The automated mapping of Arctic sea ice using satellite data from various sources plays a critical role in maritime shipping and climate science research. Deep…”
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  5. 5
    A Hierarchical Multitask U-Net for Automated Sea Ice Mapping from AI4Arctic Sea Ice Challenge Dataset

    A Hierarchical Multitask U-Net for Automated Sea Ice Mapping from AI4Arctic Sea Ice Challenge Dataset by Pena Cantu, Fernando J., Chen, Xinwei, Liu, Yizhe, Kanani, Kirtan, Park, Jinman, Tunes, Javier Noa, Xu, Linlin, Scott, K. Andrea, Clausi, David A.

    Published in OCEANS 2023 - MTS/IEEE U.S. Gulf Coast (25-09-2023)
    “…Sea ice monitoring is a vital task for various applications, such as climate research, ship navigation, and Arctic sea route planning. However, manual…”
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  6. 6
    The Influence of Input Image Scale on Deep Learning-Based Beluga Whale Detection from Aerial Remote Sensing Imagery

    The Influence of Input Image Scale on Deep Learning-Based Beluga Whale Detection from Aerial Remote Sensing Imagery by Patel, Muhammed, Chen, Xinwei, Xu, Linlin, Pena Cantu, Fernando J., Noa Turnes, Javier, Brubacher, Neil C., Clausi, David A., Scott, K. Andrea

    “…This paper investigates the influence of input image scale on deep learning-based Beluga whale detection from aerial remote sensing imagery. Beluga whales in…”
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