Sea ice detection using concurrent multispectral and synthetic aperture radar imagery-Reference-Cited by-同舟云学术

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Sea ice detection using concurrent multispectral and synthetic aperture radar imagery

Published:2024-05 Issue: Volume:305 Page:114073
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Rogers Martin S.J.,Fox Maria,Fleming Andrew,van Zeeland Louisa,Wilkinson Jeremy,Hosking J. Scott

Funder

Engineering and Physical Sciences Research Council

Natural Environment Research Council

British Antarctic Survey

Alan Turing Institute

Publisher

Elsevier BV

Reference49 articles.

1. Improved retrieval of sea ice total concentration from spaceborne passive microwave observations using numerical weather prediction model fields: an intercomparison of nine algorithms;Andersen;Remote Sens. Environ.,2006

2. Classification of sea ice types in Sentinel-1 SAR data using convolutional neural networks;Boulze;Remote Sens.,2020

3. Separability of sea ice types from wide swath C-and L-band synthetic aperture radar imagery acquired during the melt season;Casey;Remote Sens. Environ.,2016

4. Antarctic ice-shelf advance driven by anomalous atmospheric and sea-ice circulation;Christie;Nat. Geosci.,2022

5. Prediction of Categorized Sea ice concentration from Sentinel-1 SAR images based on a fully convolutional network;De Gelis;IEEE J. Select. Top. Appl. Earth Observ. Remote Sens.,2021

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1. The AutoICE Challenge;The Cryosphere;2024-08-07

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