Anomaly Detection for Autonomous Inspection of Space Facilities using Camera Images

For the purpose of realizing autonomous inspection of space facilities, this paper addresses the problem of anomaly detection from real-world images captured by free-flying space cameras. To cope with computer vision problems in space, we apply view-based and patch-based approach to represent features of image, and one-class SVM is used for classification. Anomaly detection framework is shown, which deals with a large amount of image patches fast and economically. The experimental result applied to anomaly detection from the Space Shuttle tile image was also shown, and it demonstrates favorable performance for anomaly detection problems