SAR imaging system uncertainty theory analysis based on mechanism
Yong Ge, Junjie Wang · 2000
Presently, most of methods to resolve errors and the error propagation model in Synthetic Aperture Radar imaging and recognition is based on statistic model. The disadvantages are that statistic model is a descriptive method and it answers only the values of errors and the relationship between them, don't answer why to cause these errors. For controlling SAR image quality better, we propose one kind of error propagation model in SAR imaging and recognition which is based on mechanism model. It is very important value to data quality control and inversion of remote sensing information.