微型无人直升机的路标识别系统主要包括实时视频流的采集、图像特征的提取和图像识别几部分。
Functionally, a landmark recognition system contains the following processes: the obtaining of digital video flowing, character extraction and image identification.
将支持向量机应用于高空无人侦察机的遥感图像目标识别，并且对特征值的提取进行深入研究。
Using the support vector machine applied in the high altitude unmanned scout distinguishing image goal of remote sensing, and draw to carry out thorough research for feature value.
针对无人机故障诊断前故障特征提取的问题进行了分析。
In this article, the issue of extraction of fault features in UAV is analyzed.
无人机航拍图像具有很高分辨率，如何提取主要特征并降低计算代价是无人机图像匹配辅助导航的主要问题。
The UAV aerial images have fine resolution. The main problem of the UAV image aided navigation is how to pick-up the main character and reduces the calculation cost.
研究结果表明，采用SIFT算法提取特征点实现基于普通非量测相机无人机遥感系统获取的影像快速自动拼接在技术上是可行的，满足减灾救灾工作的突发性要求。
The results of this study show that it is feasible for image rapid automatic stitching by SIFT key point extraction. It also meets the disaster reduction and relief requirements.
研究结果表明，采用SIFT算法提取特征点实现基于普通非量测相机无人机遥感系统获取的影像快速自动拼接在技术上是可行的，满足减灾救灾工作的突发性要求。
The results of this study show that it is feasible for image rapid automatic stitching by SIFT key point extraction. It also meets the disaster reduction and relief requirements.
应用推荐