TY - JOUR
T1 - Study on classification of matching area of underwater topography based on BP neural network
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
VL - 38
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 -