基于ZigBee的无人机航拍影像快速特征匹配算法

Fast feature matching algorithm for UAV aerial images based on ZigBee

为了提高无人机航拍影像的识别能力,需要进行特征匹配处理,提出基于ZigBee的无人机航拍影像快速特征匹配算法,采用ZigBee协议进行无人机航拍影像采集的无线传感组网设计,采集无人机航拍的图像,对图像采用局部加权融合特征分离方法进行无人机航拍影像快速特征检测,构建像素分维像模型进行无人机航拍影像快速特征匹配,使用图像的熵特征量作为特征匹配的基准分量,计算图像每个像素的局部信息熵,结合图像背景过滤机制和小目标增强方法实现对无人机航拍影像的目标细节定位和快速特征匹配。仿真结果表明,采用该方法进行无人机航拍影像快速特征匹配的自适应性较好,对图像目标的检测准确率较高。

In order to improve the recognition ability of UAV aerial photo image,feature matching processing is needed. A fast feature matching algorithm based on ZigBee is proposed. The wireless sensor network design of UAV aerial photo image acquisition is carried out by using ZigBee protocol. The image of UAV aerial photograph is collected,and the local weighted fusion feature separation method is used to detect the fast feature of UAV aerial photograph image,and the pixel fractal dimension image model is constructed to match the fast feature of UAV aerial photograph image. Using the entropy feature of the image as the reference component of feature matching,the local information entropy of each pixel of the image is calculated. Combined with background filtering mechanism and small target enhancement method,the target detail location and fast feature matching for UAV aerial images are realized. The simulation results show that the proposed method has good self-adaptability and high detection accuracy for UAV aerial images.