论文标题
Parkour Spot ID：使用深度学习中的卫星和街道视图图像中的功能匹配
Parkour Spot ID: Feature Matching in Satellite and Street view images using Deep Learning
论文作者
论文摘要
如何找到没有Google Maps索引的地方？我们提出了一种直观的方法和框架，以根据其独特的空间特征找到位置。该方法在机器视觉方法中使用卫星和街道视图图像来对位置进行分类。如果我们可以对位置进行分类，我们只需要重复对我们感兴趣的领域中的非重叠位置进行重复。我们评估了在亚利桑那州立大学校园找到跑酷景点的拟议系统。结果非常令人满意，发现了超过25个新的跑酷景点，真正的阳性率超过60％。
How to find places that are not indexed by Google Maps? We propose an intuitive method and framework to locate places based on their distinctive spatial features. The method uses satellite and street view images in machine vision approaches to classify locations. If we can classify locations, we just need to repeat for non-overlapping locations in our area of interest. We assess the proposed system in finding Parkour spots in the campus of Arizona State University. The results are very satisfactory, having found more than 25 new Parkour spots, with a rate of true positives above 60%.
