Variance gain index for detection of boundary points in discrete one-dimensional data

Abstract

The authors propose a new algorithm for assisting the visual interpretation of remotely sensed images, in which a new statistical index, called the variance gain index, is used to extract boundary points from one-dimensional profile data. The index is described, and experimental examples are used to examine the feasibility of the method. This method is demonstrated to provide stable and accurate detection of boundary points in simulated one-dimensional data comprised of two sections.