Study on classification of matching area of underwater topography based on BP neural network

Kai Zhang; Jianhu Zhao; Chuang Shi; Haitao Zhang

Study on classification of matching area of underwater topography based on BP neural network

Kai Zhang^*
, Jianhu Zhao
, Chuang Shi
, Haitao Zhang

^*Corresponding author for this work

Wuhan University

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

In this paper, a new method for recognition and classification of matching background area and unmatching area, base on BP neural network, is proposed, aimed on unmatching phenomenon problem in terrain matching navigation. Firstly, statistics of the background area is researched and the statistical parameters with higher significance are given; secondly, BP neural network is studied, and the statistical parameters as mentioned above are used as input to train the BP network; finally, base on the relationship between statistical parameters and the precision of matching, the self-recognition and classification of matching are implemented with a good result.

Original language	English
Pages (from-to)	56-59
Number of pages	4
Journal	Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University
Volume	38
Issue number	1
State	Published - Jan 2013
Externally published	Yes

Keywords

BP neural network
Identification of the adaptable matching area
Terrain statistical parameter
Underwater terrain matching navigation

Cite this

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title = "Study on classification of matching area of underwater topography based on BP neural network",

abstract = "In this paper, a new method for recognition and classification of matching background area and unmatching area, base on BP neural network, is proposed, aimed on unmatching phenomenon problem in terrain matching navigation. Firstly, statistics of the background area is researched and the statistical parameters with higher significance are given; secondly, BP neural network is studied, and the statistical parameters as mentioned above are used as input to train the BP network; finally, base on the relationship between statistical parameters and the precision of matching, the self-recognition and classification of matching are implemented with a good result.",

keywords = "BP neural network, Identification of the adaptable matching area, Terrain statistical parameter, Underwater terrain matching navigation",

author = "Kai Zhang and Jianhu Zhao and Chuang Shi and Haitao Zhang",

year = "2013",

month = jan,

language = "英语",

volume = "38",

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journal = "Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University",

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AU - Zhang, Kai

AU - Zhao, Jianhu

AU - Shi, Chuang

AU - Zhang, Haitao

PY - 2013/1

Y1 - 2013/1

N2 - In this paper, a new method for recognition and classification of matching background area and unmatching area, base on BP neural network, is proposed, aimed on unmatching phenomenon problem in terrain matching navigation. Firstly, statistics of the background area is researched and the statistical parameters with higher significance are given; secondly, BP neural network is studied, and the statistical parameters as mentioned above are used as input to train the BP network; finally, base on the relationship between statistical parameters and the precision of matching, the self-recognition and classification of matching are implemented with a good result.

AB - In this paper, a new method for recognition and classification of matching background area and unmatching area, base on BP neural network, is proposed, aimed on unmatching phenomenon problem in terrain matching navigation. Firstly, statistics of the background area is researched and the statistical parameters with higher significance are given; secondly, BP neural network is studied, and the statistical parameters as mentioned above are used as input to train the BP network; finally, base on the relationship between statistical parameters and the precision of matching, the self-recognition and classification of matching are implemented with a good result.

KW - BP neural network

KW - Identification of the adaptable matching area

KW - Terrain statistical parameter

KW - Underwater terrain matching navigation

UR - https://www.scopus.com/pages/publications/84873265481

M3 - 文章

AN - SCOPUS:84873265481

SN - 1671-8860

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SP - 56

EP - 59

JO - Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University

JF - Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University

IS - 1

ER -

Study on classification of matching area of underwater topography based on BP neural network

Abstract

Keywords

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