Detection of Anomalous Activity in Hyperspectral Imagery: Metrics for Evaluating Algorithms Academic Article uri icon

abstract

  • ABSTRACT In this paper, we consider detecting man-made objects in natural images. We segment the image into tiles; we consider a variety of statistical metrics and correlate them to the presence of man-made targets. To quantify the metric, we apply a method of implanting targets and evaluating the resulting ROC (Receiver Operating Characteristic) curves. We rank previously reported algorithms and develop new ones in this paper.

publication date

  • January 1, 2012