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http://dx.doi.org/10.5302/J.ICROS.2003.9.7.536

Object Extraction Technique Adequate for Radial Shape's RADAR Signal Structure  

김도현 (부산대학교 전자계산학과)
박은경 (부산대학교 전자계산학과)
차의영 (부산대학교 전자계산학과)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.9, no.7, 2003 , pp. 536-546 More about this Journal
Abstract
We propose an object extraction technique adequate for the radial shape's radar signal structure for the purpose of implementing ARPA(Automatic Radar Plotting Aid) installed in the vessel. The radar signal data are processed by interpolation and accumulation to acquire a qualified image. The objects of the radar image have characteristics of having different shape and size as it gets far from the center, and it is not adequate for clustering generally. Therefore, this study designs a new vigilance distance model of elliptical shape and adopts this model in the ART2 neural network. We prove that the proposed clustering method makes it possible to extract objects adaptively and to separate the connected objects effectively.
Keywords
RADAR; ARPA; object segmentation; object extraction;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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1 이원길, '레이더', 전자공학회지, 제15권, 제1호, pp. 48-56, 1998년 2월   과학기술학회마을
2 문성배, 정은석, 전승환, '레이더를 이용한 선박제원의 추정', 해양안전학회지 제3권, 제1호, pp. 93-98, 1997년 1월   과학기술학회마을
3 Y. Hara, R. G. Atkins, S. H. Yueh, R. T. Shin, J. A. Kong, 'Application of neural networks to radar image classification', IEEE Transactions on Geoscience and Remote Sensing, vol. 32, no. 1, pp. 100-109, Jan. 1994   DOI   ScienceOn
4 V. I. Lutsenko, A. N. Roenko, 'An application of nonlinear spatial filtration methods for improving the small ships observation on the sea clutter background', The Fourth International Kharkov Symposium on Physics and Engineering of Millimeter and Sub-Millimeter Waves, vol. 1, pp. 411-413, 2001   DOI
5 최선아, 김도현, 강동구, 차의영, '모폴로지 기법과 DSP를 이용한 레이더 영상에서의 물체추출', 한국정보과학회 가을 학술발표논문집, 제28권, 제2호, pp. 463-465, 2001년 10월   과학기술학회마을
6 S. Haykin, Neural Networks- A Comprehensive Foundation, PRENTICE HALL, 1999
7 김도현, 김춘림, 차의영, '불완전한 레이더 신호로부터 양질의 이미지 획득 방법', 한국멀티미디어학회 춘계학술발표논문집, 제5권 1호, pp. 249-253, 2002년 5월   과학기술학회마을
8 G. A. Capenter, S. Grossberg, 'ART2: Self-Organization of Stable Category Recognition Codes for Analog Input patterns', Applied Optics, vol. 26, no. 23, 1987, pp. 4919-4930   DOI
9 H. Chen, D. Kasilingam, 'k-Means Clssification Filter for Speckle Removal in Radar Images', Geoscience and Remote Sensing Symposium, 1999 IGARSS '99 Proceedings. IEEE 1, vol. 2, pp. 1244-1246, 1999   DOI
10 F. Barbaresco, 'Statistical segmentation of radar images', IEE Seminar on Texture analysis in radar and sonar, pp. 11/1-11/14, 1993
11 김도현, 강동구, 차의영, '비재귀 Flood-Fill 알고리즘을 이용한 적응적 이미지 Labeling 알고리즘', 한국정보처리학회 논문지 제 9-B권 제 3호, pp. 337-342, 2002년 6월   과학기술학회마을   DOI
12 R. Jain, R. Kasturi, B. G. Schunck, Machine Vision, McGRAW-HILL, 1995
13 G. A. Carpenter, S. Grossberg, 'The ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network', Computer, vol. 21, no. 3, 1988, pp. 77-88   DOI   ScienceOn
14 S. Theodoridis, K. Koutroumbas, Pattern Recognition, ACADEMIC PRESS, 1999