Change detection using dual ratio and false color

In this paper a Dual Ratio change detection method is proposed. This method involves taking two ratios for both real color and false color imagery in order to maximize detected changes and minimize false alarms. The proposed Dual Ratio method outperforms other methods tested in terms of Area Under the Curve (AUC) performance by an average of 18 percent at low false alarm rates and an average of 10.5 percent across the entire false alarm rate sweep.