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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/91003


    Title: 利用深度學習改進水深估計方法的精度與範圍;Improvement of Water Depth Estimation in Error and Range with Deep Learning Algorithms
    Authors: 任玄
    Contributors: 國立中央大學太空及遙測研究中心
    Keywords: 水深估計;卷積神經網路;輻射超解析;葉綠素;海水表面溫度;KD490;東沙環礁;;Bathymetry Estimation;convolution neural network;radiometric super-resolution;sea surface temperature;chlorophyll;KD490;Dongsha atoll
    Date: 2023-07-17
    Issue Date: 2023-07-18 13:50:06 (UTC+8)
    Publisher: 國家科學及技術委員會
    Abstract: 水深、水質及棲地底質資料對航行電子海圖、海洋資源及生態系研究都相當重要。本研究期望可以提高水深估計精度與範圍,目前初步嘗試在水深35公尺內都有良好的相關性。水深精度提高,對水質及棲地底質分類都大有幫助。
    Relation: 財團法人國家實驗研究院科技政策研究與資訊中心
    Appears in Collections:[太空及遙測研究中心] 研究計畫

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