Bathymetry Retrieval From Spaceborne Multispectral Subsurface Reflectance
نویسندگان
چکیده
A few scholars have developed the models for retrieval of water depth from subsurface reflectance multispectral images to avoid influences such as sun glitter. However, are only suitable case I water. For this reason, study proposes a bathymetry model using both and II The first corrects surface image then converts it into image, is used image. Landsat 8 were taken experiments in 1 2 water, two areas, Weizhou Island, Guangxi, China, Molokai Hawaii, USA, verify proposed model. experimental results showed that reduced root mean squared error (RMSE) retrieved areas 3.113 m 2.903 4.239 3.653 m, respectively, i.e., improve accuracy at 6.75% 13.82% respectively. Therefore, demonstrate can significantly via spaceborne images.
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ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
سال: 2023
ISSN: ['2151-1535', '1939-1404']
DOI: https://doi.org/10.1109/jstars.2023.3249789