Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing Images
Arctic sea ice plays an important role in Arctic-related research. Therefore, how to identify Arctic sea ice from remote sensing images with high quality in an unavoidable noise environment is an urgent challenge to be solved. In this paper, a constrained energy minimization (CEM) method is applied...
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Online Access: | https://doi.org/10.3390/rs15235555 https://doaj.org/article/86a418fdc4fe4594a992082a138d4ad8 |
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ftdoajarticles:oai:doaj.org/article:86a418fdc4fe4594a992082a138d4ad8 2024-01-07T09:40:56+01:00 Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing Images Yizhen Xiong Difeng Wang Dongyang Fu Haoen Huang 2023-11-01T00:00:00Z https://doi.org/10.3390/rs15235555 https://doaj.org/article/86a418fdc4fe4594a992082a138d4ad8 EN eng MDPI AG https://www.mdpi.com/2072-4292/15/23/5555 https://doaj.org/toc/2072-4292 doi:10.3390/rs15235555 2072-4292 https://doaj.org/article/86a418fdc4fe4594a992082a138d4ad8 Remote Sensing, Vol 15, Iss 23, p 5555 (2023) arctic sea ice identification error-accumulation enhanced neural dynamics (EAEND) model noise immunity optical remote sensing image Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15235555 2023-12-10T01:36:27Z Arctic sea ice plays an important role in Arctic-related research. Therefore, how to identify Arctic sea ice from remote sensing images with high quality in an unavoidable noise environment is an urgent challenge to be solved. In this paper, a constrained energy minimization (CEM) method is applied for Arctic sea ice identification, which only requires the target spectrum. Moreover, an error-accumulation enhanced neural dynamics (EAEND) model with strong noise immunity and high computing accuracy is proposed to aid with the CEM method for Arctic sea ice identification. With the theoretical analysis, the proposed EAEND model possesses a small steady-state error in noisy environments. Finally, compared with other existing models, the proposed EAEND model can not only complete sea ice identification in excellent fashion, but also has the advantages of high efficiency and noise immunity. Article in Journal/Newspaper Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 15 23 5555 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
arctic sea ice identification error-accumulation enhanced neural dynamics (EAEND) model noise immunity optical remote sensing image Science Q |
spellingShingle |
arctic sea ice identification error-accumulation enhanced neural dynamics (EAEND) model noise immunity optical remote sensing image Science Q Yizhen Xiong Difeng Wang Dongyang Fu Haoen Huang Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing Images |
topic_facet |
arctic sea ice identification error-accumulation enhanced neural dynamics (EAEND) model noise immunity optical remote sensing image Science Q |
description |
Arctic sea ice plays an important role in Arctic-related research. Therefore, how to identify Arctic sea ice from remote sensing images with high quality in an unavoidable noise environment is an urgent challenge to be solved. In this paper, a constrained energy minimization (CEM) method is applied for Arctic sea ice identification, which only requires the target spectrum. Moreover, an error-accumulation enhanced neural dynamics (EAEND) model with strong noise immunity and high computing accuracy is proposed to aid with the CEM method for Arctic sea ice identification. With the theoretical analysis, the proposed EAEND model possesses a small steady-state error in noisy environments. Finally, compared with other existing models, the proposed EAEND model can not only complete sea ice identification in excellent fashion, but also has the advantages of high efficiency and noise immunity. |
format |
Article in Journal/Newspaper |
author |
Yizhen Xiong Difeng Wang Dongyang Fu Haoen Huang |
author_facet |
Yizhen Xiong Difeng Wang Dongyang Fu Haoen Huang |
author_sort |
Yizhen Xiong |
title |
Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing Images |
title_short |
Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing Images |
title_full |
Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing Images |
title_fullStr |
Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing Images |
title_full_unstemmed |
Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing Images |
title_sort |
ice identification with error-accumulation enhanced neural dynamics in optical remote sensing images |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15235555 https://doaj.org/article/86a418fdc4fe4594a992082a138d4ad8 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Remote Sensing, Vol 15, Iss 23, p 5555 (2023) |
op_relation |
https://www.mdpi.com/2072-4292/15/23/5555 https://doaj.org/toc/2072-4292 doi:10.3390/rs15235555 2072-4292 https://doaj.org/article/86a418fdc4fe4594a992082a138d4ad8 |
op_doi |
https://doi.org/10.3390/rs15235555 |
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Remote Sensing |
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15 |
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23 |
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5555 |
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