Augmented reality (AR) applications have a serious problem with the accuracy of the azimuth angle provided by mobile devices. The fusion of the digital magnetic compass (DMC), accelerometer and gyroscope gives the translation and rotation of the observer in 3D space. However, the precision is not always appropriate since DMC is prone to interference when using it near metal objects or electric currents. The silhouette of ridges separates the sky from the terrain and forms the skyline or horizon line in a mountainous scenery. This salient feature can be used for orientation. With the camera of the device and a digital elevation model (DEM) the correct azimuth angle could be determined. This study proposes an effective method to adjust the azimuth by identifying the skyline from an image and matches it with the skyline of the DEM. This approach does not require manual interaction. The algorithm has also been validated in a real-world environment.

增强现实（AR）应用在移动设备提供的方位角精度方面存在严重问题。数字磁罗盘（DMC），加速度计和陀螺仪的融合使观察者可以在3D空间中进行平移和旋转。但是，精度并不总是合适的，因为在金属物体或电流附近使用DMC时，DMC容易受到干扰。山脊轮廓将天空与地形分隔开，并在山区风景中形成天际线或地平线。此显着特征可用于定向。使用设备的摄像头和数字高程模型（DEM），可以确定正确的方位角。这项研究提出了一种有效的方法，可以通过从图像中识别出天际线并将其与DEM的天际线进行匹配来调整方位角。此方法不需要手动交互。该算法也已在实际环境中进行了验证。