Title :
Surface targets recognition by using the maximum likelihood estimator in remote sensing radars
Author :
Zakeri, B. ; Kalantari, E.
Author_Institution :
Babol Noshirvani Univ. of Technol., Babol, Iran
Abstract :
A new approach to recognize radar targets in imaging radars is presented. In this investigation, we deal with the statistical properties of the scattering mechanism for several types of radar targets, e.g., rough surfaces and vegetation canopies. For these targets, the use of deterministic techniques such as the target decomposition cannot be used alone. Therefore a statistical approach is applied to evaluate target parameters. Results show that this approach is a powerful tool to analysis of natural targets.
Keywords :
maximum likelihood estimation; radar imaging; radar tracking; remote sensing; target tracking; maximum likelihood estimator; radar imaging; radar targets; remote sensing radars; statistical approach; statistical properties; surface targets recognition; target decomposition; Covariance matrix; Radar imaging; Rough surfaces; Scattering; Sea surface; Surface roughness;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159888