Abstract

For the anomalous change detection problem, you have a pair of images, taken of the same scene, but at different times and typically under different viewing conditions. You are looking for interesting differences between the two images. There will be some differences that are pervasive, perhaps due to overall contrast, brightness or focus differences, or maybe due to atmospheric or even seasonal changes – but there may also be changes that occur in only a few pixels. These rare changes are potentially indicative of something truly changing in the scene, and the idea is to use anomaly detection to find them. But you want to identify the changes that are unusual. You do not want to be confounded by ususual pixels that are “similarly unusual ” in both images. We propose a machine learning framework for identifying these anomalous changes. 1.

Citations