Deep Learning-Based Identification of Marine Mucilage in the Sea of Marmara from MODIS Images

In 2021, the Sea of Marmara experienced the most severe marine mucilage (MM) event in history. The large-scale outbreak not only affected the marine ecosystem, but also caused serious damage to fisheries, shipping, and coastal economies. How to use satellite remote sensing technology for efficient a...

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Bibliografiska uppgifter

Huvudupphov:	Qing Xu, Ben Zhang, Xiaobin Yin, Tong Sun, Yongcun Cheng, Yan Li, Feifei Shang, Jue Ning, Yifan Yin
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2026-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Ämnen:	Deep learning (DL) marine mucilage (MM) moderate resolution imaging spectroradiometer (MODIS) Sea of Marmara U-Net
Länkar:	https://ieeexplore.ieee.org/document/11315863/
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