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.
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