A Statistical Method for Discrimination of Natural Terrain Types from SAR Data

In this paper we propose a method for discrimination of underlying textural structures from spotlight-mode synthetic aperture radar (SAR) returns by using a tomographic data acquisition model as the basis for statistical reasoning. We model the hypothesized textures by statistically self-similar processes and formulate the problem in a hypothesis testing framework in the SAR range profile domain without any image formation. We achieve a near-optimal, computationally efficient evaluation of the likelihood test by transforming the data into the multiscale domain.

• Type: Conference
• Year: 1998
• Where: ICIP
• Authors: Müjdat Çetin, William Clement Karl
• Keywords: ICIP 1998, Image Processing, SAR Range Profile, Synthetic Aperture Radar, Tomographic Data Acquisition