Deep residual U-Net for automatic detection of Moroccan coastal upwelling using SST images

Mohamed Snoussi; Ayoub Tamim; Salma El Fellah; Mohamed El Ansari

doi:10.1007/s11042-022-13692-4

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Deep residual U-Net for automatic detection of Moroccan coastal upwelling using SST images

Mohamed Snoussi Ayoub Tamim Salma El Fellah Mohamed El Ansari

Year: 2022 Journal: Multimedia Tools and Applications Vol: 82 (5)Pages: 7491-7507 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-022-13692-4

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Keywords:

Upwelling Computer science Residual Deep learning Artificial intelligence Sea surface temperature Convolutional neural network Segmentation Artificial neural network Remote sensing Climatology Geology Oceanography Algorithm

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Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Automated Road and Building Extraction

Physical Sciences → Engineering → Ocean Engineering

Deep residual U-Net for automatic detection of Moroccan coastal upwelling using SST images

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