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  • 标题:THE MISSILE TARGET EXTRACTION IN ULTRAVIOLET IMAGES WITH NOISE AND BURST INTERFERENCES
  • 本地全文:下载
  • 作者:GAO QINA ; ZHU YIING ; ZOU PING
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2013
  • 卷号:53
  • 期号:2
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Though ultraviolet warning systems are working at sun-blind wave-band, while this paper reveals that in the ultraviolet (UV) images of the systems for missile approaching, there exist strong noise and burst interferences coming from UV CCD electronic sensors and high gain amplifiers. The CCD interferences can not be effectively removed by classical 2-D filtering algorithms, while they will influence the detection of the missile target in the ultraviolet images. To solve the problem, unchanging the current hardware structure of UV CCD electronic sensors, this paper develops a 3-D filtering algorithm for imaging sequence based on a 3-D recursive filter, which is stable and it extracts the missile target clearly. The proposed 3-D recursive filter composes of a 2-D spatial-filtering IIR and 1-D time-filtering IIR, both are stable. The stability test algorithms are provided. The proposed 3-D recursive filter is of much less computation amount UV image sequences and it can realize fast and real-time image filtering. Simulation experiments of UV image processing have shown that the proposed 3-D filtering and related algorithms are correct effective and pragmatica1.
  • 关键词:Ultraviolet Image; Burst Interference; 3D Recursive Filtering; Missile Target Extraction
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