DocumentCode
3429535
Title
Automatic ship classification by superstructure moment invariants and two-stage classifier
Author
Zhongliang, Qian ; Wenjun, Wang
Author_Institution
Dept. of Inf. & Electron. Eng., Zhejiang Univ., Hangzhou, China
fYear
1992
fDate
16-20 Nov 1992
Firstpage
544
Abstract
Moment invariants have been used as descriptive feature in a variety of object recognition applications. A new descriptive scheme called superstructure moment invariants is presented. The authors calculate moment invariants only for the superstructure of a ship, which are different from the general moment invariants for the entire ship. The analysis of the theory and the statistics of the experimental results shows that the classification accuracy using superstructure moment invariants for the ship is higher than that of general ones. A modified 1-NN classifier, two stage classification is presented, which reduces the time expense and has a high classification accuracy
Keywords
pattern recognition; ships; automatic ship classification; object recognition; superstructure moment invariants; two-stage classifier; Aircraft; Azimuth; Ear; Libraries; Marine vehicles; Neural networks; Object recognition; Sea measurements; Shape; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Singapore ICCS/ISITA '92. 'Communications on the Move'
Print_ISBN
0-7803-0803-4
Type
conf
DOI
10.1109/ICCS.1992.254892
Filename
254892
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