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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-11-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/15/23/5555 |
| _version_ | 1797399647867633664 |
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| author | Yizhen Xiong Difeng Wang Dongyang Fu Haoen Huang |
| author_facet | Yizhen Xiong Difeng Wang Dongyang Fu Haoen Huang |
| author_sort | Yizhen Xiong |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T01:43:08Z |
| format | Article |
| id | doaj.art-86a418fdc4fe4594a992082a138d4ad8 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T01:43:08Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-86a418fdc4fe4594a992082a138d4ad82023-12-08T15:25:00ZengMDPI AGRemote Sensing2072-42922023-11-011523555510.3390/rs15235555Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing ImagesYizhen Xiong0Difeng Wang1Dongyang Fu2Haoen Huang3School of Electronics and Information Engineering, Guangdong Ocean University, Zhanjiang 524025, ChinaState Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, ChinaSchool of Electronics and Information Engineering, Guangdong Ocean University, Zhanjiang 524025, ChinaSchool of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430070, ChinaArctic 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.https://www.mdpi.com/2072-4292/15/23/5555arctic sea ice identificationerror-accumulation enhanced neural dynamics (EAEND) modelnoise immunityoptical remote sensing image |
| spellingShingle | Yizhen Xiong Difeng Wang Dongyang Fu Haoen Huang Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing Images Remote Sensing arctic sea ice identification error-accumulation enhanced neural dynamics (EAEND) model noise immunity optical remote sensing image |
| title | 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_short | 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 |
| topic | arctic sea ice identification error-accumulation enhanced neural dynamics (EAEND) model noise immunity optical remote sensing image |
| url | https://www.mdpi.com/2072-4292/15/23/5555 |
| work_keys_str_mv | AT yizhenxiong iceidentificationwitherroraccumulationenhancedneuraldynamicsinopticalremotesensingimages AT difengwang iceidentificationwitherroraccumulationenhancedneuraldynamicsinopticalremotesensingimages AT dongyangfu iceidentificationwitherroraccumulationenhancedneuraldynamicsinopticalremotesensingimages AT haoenhuang iceidentificationwitherroraccumulationenhancedneuraldynamicsinopticalremotesensingimages |