A co‐occurrence matrix‐based matching area selection algorithm for underwater gravity‐aided inertial navigation
The matching area selection algorithm is one of the key technologies for underwater gravity‐aided inertial navigation system, which directly affects the positioning accuracy and matching rate of underwater navigation. The traditional matching area selection algorithms usually use the statistical cha...
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          | Published in | IET radar, sonar & navigation Vol. 15; no. 3; pp. 250 - 260 | 
|---|---|
| Main Authors | , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
            Wiley
    
        01.03.2021
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| Online Access | Get full text | 
| ISSN | 1751-8784 1751-8792 1751-8792  | 
| DOI | 10.1049/rsn2.12021 | 
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| Abstract | The matching area selection algorithm is one of the key technologies for underwater gravity‐aided inertial navigation system, which directly affects the positioning accuracy and matching rate of underwater navigation. The traditional matching area selection algorithms usually use the statistical characteristic parameters of gravity field. However, the traditional algorithms are difficult to reflect the spatial relation characteristic of gravity field, which always miss some latent matching areas with obvious change of gravity field. In order to solve this problem, the matching area selection algorithm based on co‐occurrence matrix is proposed. The proposed algorithm establishes gravity anomaly co‐occurrence matrix and extracts spatial relation characteristic parameters to reflect the gravity field. The comprehensive spatial characteristic parameter is built by entropy and is used to select the matching area by maximization of inter‐class variance. The experimental results show that the proposed algorithm can select more effective matching areas than the traditional algorithms. | 
    
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| AbstractList | The matching area selection algorithm is one of the key technologies for underwater gravity‐aided inertial navigation system, which directly affects the positioning accuracy and matching rate of underwater navigation. The traditional matching area selection algorithms usually use the statistical characteristic parameters of gravity field. However, the traditional algorithms are difficult to reflect the spatial relation characteristic of gravity field, which always miss some latent matching areas with obvious change of gravity field. In order to solve this problem, the matching area selection algorithm based on co‐occurrence matrix is proposed. The proposed algorithm establishes gravity anomaly co‐occurrence matrix and extracts spatial relation characteristic parameters to reflect the gravity field. The comprehensive spatial characteristic parameter is built by entropy and is used to select the matching area by maximization of inter‐class variance. The experimental results show that the proposed algorithm can select more effective matching areas than the traditional algorithms. Abstract The matching area selection algorithm is one of the key technologies for underwater gravity‐aided inertial navigation system, which directly affects the positioning accuracy and matching rate of underwater navigation. The traditional matching area selection algorithms usually use the statistical characteristic parameters of gravity field. However, the traditional algorithms are difficult to reflect the spatial relation characteristic of gravity field, which always miss some latent matching areas with obvious change of gravity field. In order to solve this problem, the matching area selection algorithm based on co‐occurrence matrix is proposed. The proposed algorithm establishes gravity anomaly co‐occurrence matrix and extracts spatial relation characteristic parameters to reflect the gravity field. The comprehensive spatial characteristic parameter is built by entropy and is used to select the matching area by maximization of inter‐class variance. The experimental results show that the proposed algorithm can select more effective matching areas than the traditional algorithms.  | 
    
| Author | Fu, Mengyin Deng, Zhihong Wang, Bo Wang, Chenglong  | 
    
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| Cites_doi | 10.1080/01431161.2017.1384591 10.3390/s17040769 10.1049/iet-rsn.2018.0079 10.1080/01431161.2015.1041619 10.1109/TMECH.2016.2587804 10.1109/TCST.2015.2429613 10.1190/geo2012-0181.1 10.1016/j.jappgeo.2018.02.003 10.1017/S0373463315000235 10.1049/iet-rsn.2014.0419 10.1017/S0373463318000681 10.1049/iet-rsn.2018.5118 10.1049/iet-rsn.2017.0239 10.1109/TMECH.2011.2174798 10.1109/TCST.2014.2300815 10.1109/TCST.2013.2293958 10.1017/S0373463319000584 10.3390/s17081851  | 
    
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| Snippet | The matching area selection algorithm is one of the key technologies for underwater gravity‐aided inertial navigation system, which directly affects the... Abstract The matching area selection algorithm is one of the key technologies for underwater gravity‐aided inertial navigation system, which directly affects...  | 
    
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| Title | A co‐occurrence matrix‐based matching area selection algorithm for underwater gravity‐aided inertial navigation | 
    
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