A Method to Recognize Ship Target in SAR Imagery Using an AAM

Author

Wang Juan ; Xu Yang ; Zhang Xue-Lan

Author_Institution

Beijing Inst. of Technol., Comput. Sci. & Technol. Acad., Beijing

Volume

1

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

1025

Lastpage

1027

Abstract

This paper presents a new method to recognize ship target in SAR imagery using an active appearance model (AAM). The AAM can describe both shape and grey-level appearance of target which can present the target more accurately. The AAM is used as a basis for ship targets recognition. The whole method contains two steps: building an AAM firstly, then searching the target use it. The more detailed realization is discussed in this paper. It obtains good results for different ship by this method. An identification rate of 90% was achieved. The experiments prove that AAM is good in ship target recognition in SAR imagery .

Keywords

military radar; radar imaging; radar target recognition; synthetic aperture radar; AAM; SAR imagery; active appearance model; ship target recognition; synthetic aperture radar; Active appearance model; Active shape model; Computer science; Equations; Image recognition; Image sampling; Marine vehicles; Principal component analysis; Software engineering; Target recognition; AAM; SAR; ship recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.713

Filename

4721926