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GIScience & Remote Sensing Volume 58, 2021 - Issue 6
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Research Article

Retrieval of daily sea ice thickness from AMSR2 passive microwave data using ensemble convolutional neural networks

Junhwa ChiCenter of Remote Sensing and GIS, Korea Polar Research Institute, Incheon, KoreaORCID Iconhttps://orcid.org/0000-0003-4943-3790View further author information
ORCID Icon &
Hyun-Cheol KimCenter of Remote Sensing and GIS, Korea Polar Research Institute, Incheon, KoreaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-6831-9291View further author information
ORCID Icon
Pages 812-830 | Received 09 Mar 2021, Accepted 08 Jun 2021, Published online: 14 Jul 2021

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Ruhan A, Xiaodong Mu, Jingyuan He & Jinjin Zhang. (2022) Enhance tensor RPCA-LRX anomaly detection algorithm for hyperspectral image. Geocarto International 37:26, pages 11976-11997.
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Articles from other publishers (4)

Zeyu Liang, Qing Ji, Xiaoping Pang, Pei Fan, Xuedong Yao, Yizhuo Chen, Ying Chen & Zhongnan Yan. (2023) Estimation of Daily Arctic Winter Sea Ice Thickness from Thermodynamic Parameters Using a Self-Attention Convolutional Neural Network. Remote Sensing 15:7, pages 1887.
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Clément Soriot, Catherine Prigent, Carlos Jimenez & Frédéric Frappart. (2023) Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz. Earth and Space Science 10:2.
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Sihun Jung, Cheolhee Yoo & Jungho Im. (2022) High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension. Remote Sensing 14:3, pages 575.
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Junhwa Chi, Jihyun Bae & Young-Joo Kwon. (2021) Two-Stream Convolutional Long- and Short-Term Memory Model Using Perceptual Loss for Sequence-to-Sequence Arctic Sea Ice Prediction. Remote Sensing 13:17, pages 3413.
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