Separation of Rain and Non-Rain events in Radar Imaging using Multiple Elevations and Texture Analysis

Abstract

We present an algorithm for the characterization the signal f with respect to a change in scale. Consider a of rain and non-rain related echoes such as atmospheric statistical measure, called the partition function q(a, x1, anomalous propagation and ground clutter in weather radar X2. XN), calculated from functionf at scale a and location imagery. The motivation behind the proposed work is the need (X1, X2. XN), defined as:for an accurate quality control algorithm which at the same time reduces human interaction. Similar to our previous work, a X qX A (1 the proposed algorithm uses textural information of radar wr xe, x2. XN).XN) (1) reflectivity images. The proposed technique utilizes several where radar elevations to build 3D volume blocks, in which each slice a( Xl, X2.XN) Ba(Xi X2.XN)(2) is constructed from several radar elevation scans. The proposed technique provides a better representation of the volume data is the sum of all values of function f over an N-dimensional set, suitable for 3D multiscale textural analysis.