Statistical Modeling of SAR Images: A Survey
AbstractStatistical modeling is essential to SAR (Synthetic Aperture Radar) image interpretation. It aims to describe SAR images through statistical methods and reveal the characteristics of these images. Moreover, statistical modeling can provide a technical support for a comprehensive understanding of terrain scattering mechanism, which helps to develop algorithms for effective image interpretation and creditable image simulation. Numerous statistical models have been developed to describe SAR image data, and the purpose of this paper is to categorize and evaluate these models. We first summarize the development history and the current researching state of statistical modeling, then different SAR image models developed from the product model are mainly discussed in detail. Relevant issues are also discussed. Several promising directions for future research are concluded at last.
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Gao, G. Statistical Modeling of SAR Images: A Survey. Sensors 2010, 10, 775-795.
Gao G. Statistical Modeling of SAR Images: A Survey. Sensors. 2010; 10(1):775-795.Chicago/Turabian Style
Gao, Gui. 2010. "Statistical Modeling of SAR Images: A Survey." Sensors 10, no. 1: 775-795.