远程采集模糊无人机图像的特征识别方法研究

地面对空中无人机的视觉识别中,由于无人机的飞行速度、角度呈现非线性变化。使得采集的疑似图像存在特征模糊、衰退等问题,传统的模式识别方法无法提取无人机图像的主要特征,极大程度上降低了图像的识别概率。提出一种引入球面谐波基图像特征细分的无人机识别算法,建立球面谐波基图像识别模型,利用无人机图像的球面谐波基图像近似率,对模糊图像的差异特征进行依次识别。实验结果表明,利用改进算法建立的模糊无人机图像差异特征识别模型,具有一定的优越性,提高了无人机识别的准确率。

Remote collection and the fuzzy characteristic of uav image recognition method research

To unmanned aerial vehicle vision recognition, the nonlinear change appears as a result of the unmanned aerial vehicle (uav) flight speed, Angle. The acquisition of suspected problems such as fuzzy, recession, traditional pattern recognition methods unmanned aerial vehicle (uav) is the main feature of image, largely reduces the image recognition probability. Put forward a kind of introduction of spherical harmonic image feature segmentation of unmanned aerial vehicle (uav) recognition algorithm, spherical harmonic base image recognition model is established, by using unmanned aerial vehicle (uav) image of spherical harmonic image approximation rate, characteristics of difference of blurred image recognition in turn. The experimental results show that the improved algorithm is used to establish the fuzzy uav image difference feature recognition model, has certain advantages, enhance the accuracy in the unmanned aerial vehicle (uav) recognition.