环境感知是UCAV实现认知导航所需解决的关键问题之一。将SURF特征点检测与匹配引入到UCAV环境感知中。首先分析特征点检测方法,然后着重研究了SURF算法原理,最后仿真验证了SURF提取特征点鲁棒性,克服UCAV以图像作为感知信息时的多变性。
Environment perception is one of the key issues for UCAV to realize cognitive navigation. This article brings detection and matching of SURF feature points in UCAV environment perception. Firstly ,some methods of feature points detection are discussed. Then the principle of the SURF algorithm is analyzed. At last, the robustness of feature points detected by the SURF algorithm is proved through the simulation, and the changeable of image used as perception' s information in UCAV is conquered.