Since the traditional CFAR algorithm is not suitable for high-resolution target detection of synthetic aperture radar (SAR) images, a new two-stage target detection method based on variance weighted information entropy is proposed in this paper.
Using methods described earlier (Lewis et al., 2005, 2009, 2012), we derived a Harmonics-to-Noise Ratio (HNR) mean value, a measure of spectro-temporal dynamics based on entropy (Wiener entropy) in the acoustic signal (Tchernichovski et al., 2001), plus a measure of spectral structure variance (SSV) of the sounds.
Section 2 introduces the location stage of the high-resolution SAR images based on the variance weighted information entropy.
On the first stage, the regions of interest (ROIs) in SAR image is extracted based on the variance weighted information entropy (WIE), which has been proved to be a simple and effective quantitative description index for the complex degree of infrared image background.
Statistical measures of gray level distribution of local contrast enhancement based on mean, variance or entropy have not been meaningful.
A probability value is calculated for each partition to determine the entropy based on Shannon's entropy [ 28]. 4. Parametric graph entropy measures called Dehmer-entropy: To determine the entropy, measures of this class [ 8, 10], assign a probability value to each vertex of a graph, using so-called information functionals (IFs).
Var was used to represent a divergence measure based on Shannon entropy [ 42].
This definition of entropy is based on Shannon's entropy, which is a standard measure for estimating the uncertainty of a given signal in Information Theory (Schneider 2010).
Nicolaou, N. & Georgiou, J. Detection of epileptic electroencephalogram based on Permutation Entropy and Support Vector Machines.
