Construction of ISAR training database for automatic target recognition
SCIE
SCOPUS
- Title
- Construction of ISAR training database for automatic target recognition
- Authors
- Park, SH; Joo, MG; Kim, KT
- Date Issued
- 2011-06
- Publisher
- Progress In Electromagnetics Research
- Abstract
- An inverse synthetic aperture radar (ISAR) image shows a two-dimensional (2D) distribution of the reflectivity of a target and is formed by projecting the reflectivity onto a 2D image plane. It is widely used to identify unknown targets. However, it is very difficult to construct the training database of the TSAR image by estimating the 2D image plane. This paper proposes an efficient method of constructing an TSAR training database based on the flight scenario, which can be applied to recognition of real targets. Simulation results for three flight scenarios using real-sized five targets prove that the proposed method is very efficient and insensitive to noise and training data reduction especially when the flight is at an angle to the viewing vector.
- Keywords
- PARTICLE SWARM OPTIMIZATION; HOUGH TRANSFORM; RANGE PROFILE; RADAR; COMBINATION
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/16586
- DOI
- 10.1163/156939311797164909
- ISSN
- 0920-5071
- Article Type
- Article
- Citation
- Journal of Electromagnetic Waves and Applications, vol. 25, no. 11-12, page. 1493 - 1503, 2011-06
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