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Proceedings Paper

Missile placement analysis based on improved SURF feature matching algorithm
Author(s): Kaida Yang; Wenjie Zhao; Dejun Li; Xiran Gong; Qian Sheng
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Paper Abstract

The precious battle damage assessment by use of video images to analysis missile placement is a new study area. The article proposed an improved speeded up robust features algorithm named restricted speeded up robust features, which combined the combat application of TV-command-guided missiles and the characteristics of video image. Its restrictions mainly reflected in two aspects, one is to restrict extraction area of feature point; the second is to restrict the number of feature points. The process of missile placement analysis based on video image was designed and a video splicing process and random sample consensus purification were achieved. The RSURF algorithm is proved that has good realtime performance on the basis of guarantee the accuracy.

Paper Details

Date Published: 4 March 2015
PDF: 6 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430S (4 March 2015); doi: 10.1117/12.2179359
Show Author Affiliations
Kaida Yang, Aviation Univ. of Air Force (China)
Wenjie Zhao, Aviation Univ. of Air Force (China)
Dejun Li, Aviation Univ. of Air Force (China)
Xiran Gong, Unit 95178 PLA (China)
Qian Sheng, Unit 93057 PLA (China)


Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)

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