Study on Improvement of Multibeam Backscatter Angular Response Model
Because multibeam backscatter data is greatly affected by the AR (angular response) and the AR correction models are not perfect in the complex seabed, the multibeam image quality is seriously reduced. This paper puts forward an improved AR model and a correction method. Firstly, we average continua...
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Surveying and Mapping Press
2016-11-01
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doaj-3fb280ebd87d4ab1af5822f1f1a44c1f2020-11-24T23:15:50ZzhoSurveying and Mapping PressActa Geodaetica et Cartographica Sinica1001-15951001-15952016-11-0145111301130710.11947/j.AGCS.2016.2016016920161106Study on Improvement of Multibeam Backscatter Angular Response ModelYAN Jun0ZHANG Hongmei1ZHAO Jianhu2MENG Junxia3School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, ChinaSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430079, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430079, ChinaBecause multibeam backscatter data is greatly affected by the AR (angular response) and the AR correction models are not perfect in the complex seabed, the multibeam image quality is seriously reduced. This paper puts forward an improved AR model and a correction method. Firstly, we average continual pings to obtain the AR curve; Secondly, we give out the extraction method of AR parameters; Thirdly, we use the parameters to establish the improved AR model of different sections of one ping; Finally, we use the model to weaken the AR effect in multibeam backscatter images. The validities of the method have been verified by the experiments of the field multibeam acoustic backscatter.http://html.rhhz.net/CHXB/html/2016-11-1301.htmmultibeam imagebackscatterangular response parametersmodel improvement |
collection |
DOAJ |
language |
zho |
format |
Article |
sources |
DOAJ |
author |
YAN Jun ZHANG Hongmei ZHAO Jianhu MENG Junxia |
spellingShingle |
YAN Jun ZHANG Hongmei ZHAO Jianhu MENG Junxia Study on Improvement of Multibeam Backscatter Angular Response Model Acta Geodaetica et Cartographica Sinica multibeam image backscatter angular response parameters model improvement |
author_facet |
YAN Jun ZHANG Hongmei ZHAO Jianhu MENG Junxia |
author_sort |
YAN Jun |
title |
Study on Improvement of Multibeam Backscatter Angular Response Model |
title_short |
Study on Improvement of Multibeam Backscatter Angular Response Model |
title_full |
Study on Improvement of Multibeam Backscatter Angular Response Model |
title_fullStr |
Study on Improvement of Multibeam Backscatter Angular Response Model |
title_full_unstemmed |
Study on Improvement of Multibeam Backscatter Angular Response Model |
title_sort |
study on improvement of multibeam backscatter angular response model |
publisher |
Surveying and Mapping Press |
series |
Acta Geodaetica et Cartographica Sinica |
issn |
1001-1595 1001-1595 |
publishDate |
2016-11-01 |
description |
Because multibeam backscatter data is greatly affected by the AR (angular response) and the AR correction models are not perfect in the complex seabed, the multibeam image quality is seriously reduced. This paper puts forward an improved AR model and a correction method. Firstly, we average continual pings to obtain the AR curve; Secondly, we give out the extraction method of AR parameters; Thirdly, we use the parameters to establish the improved AR model of different sections of one ping; Finally, we use the model to weaken the AR effect in multibeam backscatter images. The validities of the method have been verified by the experiments of the field multibeam acoustic backscatter. |
topic |
multibeam image backscatter angular response parameters model improvement |
url |
http://html.rhhz.net/CHXB/html/2016-11-1301.htm |
work_keys_str_mv |
AT yanjun studyonimprovementofmultibeambackscatterangularresponsemodel AT zhanghongmei studyonimprovementofmultibeambackscatterangularresponsemodel AT zhaojianhu studyonimprovementofmultibeambackscatterangularresponsemodel AT mengjunxia studyonimprovementofmultibeambackscatterangularresponsemodel |
_version_ |
1725589311223496704 |