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Title: | Optically enhanced super-resolution of sea surface temperature using deep learning |
Authors: | Lloyd, David T. Abela, Aaron Farrugia, Reuben A. Galea, Anthony Valentino, Gianluca |
Keywords: | Ocean temperature Ocean temperature -- Remote sensing Multisensor data fusion Deep learning (Machine learning) Insulation (Heat) |
Issue Date: | 2021 |
Publisher: | IEEE |
Citation: | Lloyd, D. T., Abela, A., Farrugia, R. A., Galea, A., & Valentino, G. (2021). Optically Enhanced Super-Resolution of Sea Surface Temperature Using Deep Learning. IEEE Transactions on Geoscience and Remote Sensing. DOI: 10.1109/TGRS.2021.3094117. |
Abstract: | Sea surface temperature (SST) can be measured from space using infrared sensors on Earth-observing satellites. However, the tradeoff between spatial resolution and swath size (and hence revisit time) means that SST products derived from remote sensing measurements commonly only have a moderate resolution (>1 km). In this article, we adapt the design of a super-resolution neural network architecture [specifically very deep super-resolution (VDSR)] to enhance the resolution of both top-of-atmosphere thermal images of sea regions and bottomof-atmosphere SST images by a factor of 5. When tested on an unseen dataset, the trained neural network yields thermal images that have an RMSE 2 − 3× smaller than interpolation, with a 6–9 dB improvement in PSNR. A major contribution of the proposed neural network architecture is that it fuses optical and thermal images to propagate the high-resolution information present in the optical image to the restored thermal image. To illustrate the potential benefits of using super-resolution (SR) in the context of oceanography, we present super-resolved SST images of a gyre and an ocean front, revealing details and features otherwise poorly resolved by moderate resolution satellite images. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/85814 |
Appears in Collections: | Scholarly Works - FacICTCCE |
Files in This Item:
File | Description | Size | Format | |
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Optically_Enhanced_Super-Resolution_of_Sea_Surface_Temperature_Using_Deep_Learning.pdf Restricted Access | 22.88 MB | Adobe PDF | View/Open Request a copy |
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