A K-Wishart Markov random field model for clustering of polarimetric sar imagery

In this report, different models are described for calculating the effective modulus of randomly oriented short-fiber reinforced composite materials. The survey is not at all

Approved for public release. The numerical models incorporate both loss from the bottom, due to the sound interaction with the seafloor, and loss at the open ocean boundaries

Following coverage of the area, the backscatter is segmented into a discrete number of classes by modeling the probability distribution as a hidden Markov random field (HMRF)

The performance of our test will be demonstrated on realizations from (intrinsically) stationary random fields with different underlying covariance functions (or variograms in

By assigning contextual probabilities to network events, CBAM improves the detection rates of low-volume remote access attacks and outperforms current state-of-the-art

− CRLs are periodically issued and posted to a repository, even if there are no changes or updates to be made. NPKI Root CA CRLs shall be published bi-weekly. NPKI at tier 2 and

[ 29 ] When using the isotropic formulation to estimate tur- bulence dissipation rate in an anisotropic field, it is not possible to know a priori which fluctuating velocity

Further, a simple model based purely on snow depth, a logistic regression model and a random forest model are fitted to training data and used to forecast the probability of