Missile placement analysis based on improved SURF feature matching algorithm

Kaida Yang; Wenjie Zhao; Dejun Li; Xiran Gong; Qian Sheng

doi:10.1117/12.2179359

4 March 2015 Missile placement analysis based on improved SURF feature matching algorithm

Kaida Yang, Wenjie Zhao, Dejun Li, Xiran Gong, Qian Sheng

Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 94430S (2015) https://doi.org/10.1117/12.2179359
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China

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.

Citation Download Citation

Kaida Yang, Wenjie Zhao, Dejun Li, Xiran Gong, and Qian Sheng "Missile placement analysis based on improved SURF feature matching algorithm", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 94430S (4 March 2015); https://doi.org/10.1117/12.2179359

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