Redirigiendo al acceso original de articulo en 17 segundos...
Inicio  /  Atmosphere  /  Vol: 8 Núm: 4 Par: April (2017)  /  Artículo
ARTÍCULO
TITULO

An Objective Prototype-Based Method for Dual-Polarization Radar Clutter Identification

Guang Wen    
Alain Protat and Hui Xiao    

Resumen

A prototype-based method is developed to discriminate different types of clutter (ground clutter, sea clutter, and insects) from weather echoes using polarimetric measurements and their textures. This method employs a clustering algorithm to generate data groups from the training dataset, each of which is modeled as a weighted Gaussian distribution called a ?prototype.? Two classification algorithms are proposed based on the prototypes, namely maximum prototype likelihood classifier (MPLC) and Bayesian classifier (BC). In the MPLC, the probability of a data point with respect to each prototype is estimated to retrieve the final class label under the maximum likelihood criterion. The BC models the probability density function as a Gaussian mixture composed by the prototypes. The class label is obtained under the maximum a posterior criterion. The two algorithms are applied to S-band dual-polarization CP-2 weather radar data in Southeast Queensland, Australia. The classification results for the test dataset are compared with the NCAR fuzzy-logic particle identification algorithm. Generally good agreement is found for weather echo and ground clutter; however, the confusion matrix indicates that the techniques tend to differ from each other on the recognition of insects.

 Artículos similares

       
 
Leso Munala, Elizabeth M. Allen, Andrew J. Frederick and Anne Ngunjiri    
Severe weather events can be a catalyst for intimate partner violence, particularly in agricultural settings. This research explores the association between weather and violence in parts of East Africa that rely on subsistence farming. We used IPUMS-DHS ... ver más

 
Katarzyna Kocur-Bera and Szymon Czyza    
Green energy production has become a common and recognized method of electricity generation. Giving up reliance on non-renewable energy sources is an important trend in the economies of many countries. The paper presents an analysis of the impact of indi... ver más

 
Matteo Gentilucci and Gilberto Pambianchi    
The reconstruction of daily precipitation data is a much-debated topic of great practical use, especially when weather stations have missing data. Missing data are particularly numerous if rain gauges are poorly maintained by their owner institutions and... ver más
Revista: Climate

 
Nikolaos Ntinopoulos, Marios Spiliotopoulos, Lampros Vasiliades and Nikitas Mylopoulos    
Forest fires are of critical importance in the Mediterranean region. Fire weather indices are meteorological indices that produce information about the impact as well as the characteristics of a fire event in an ecosystem and have been developed for that... ver más
Revista: Climate

 
Elena A. Grigorieva and Alexandra S. Livenets    
Climate change and natural disasters caused by hydrological, meteorological, and climatic causes have a significant and increasing direct and indirect impact on human health, leading to increased mortality and morbidity. Russia is a country that suffers ... ver más
Revista: Climate