Titlebook: Artificial Intelligence Oceanography; Xiaofeng Li,Fan Wang Book‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicable) and The Author(s) 2023 Open Acc

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Detection and Analysis of Marine Green Algae Based on Artificial Intelligence, Based on the 1,055/4,071 pairs of labelled samples, the model reached an accuracy of 97.51 (99.83)% and an Intersection over Union (IoU) of 42.62 (88.09)% for the MODIS (SAR) images. We processed satellite images containing . using the DL model and drew an exciting finding: since SAR (MODIS) detect

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,Automatic Waterline Extraction of?Large-Scale Tidal Flats from?SAR Images Based on?Deep Convolutioning operations such as grey-value thresholding due to speckle noise. Both the signal returned from the sea surface and the exposed tidal flats vary drastically from different sea conditions. This chapter develops an automatic method for extracting the waterline accurately and efficiently from Sentin

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ext decade. Therefore, this book will serve as a benchmark providing insights for scholars and graduate students interested in oceanography, computer science, and remote sensing.?.978-981-19-6377-3978-981-19-6375-9

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https://doi.org/10.1007/978-0-387-32793-8lassify a series of SAR images from freezing to melting of Bering Strait. The results are compared with the 1 km products of the National Snow and Ice Data Center. Results show that the DAU-Net is capable of dealing with complex sea conditions, showing good robustness and applicability.