The Application of Optimal Polarization Theory in Polarimetric SAR Change Detection

In recent years, SAR is developing to multitemporal, multi-band, high resolution and full polarization. So the study of polarization SAR change detection technology is the trend of the SAR. The traditional change detection methods have disadvantages either low accuracy, serious noise or can´t determine changes types. In order to improve the detection accu-racy of polarization SAR data, a new change detection method is presented in this paper. Firstly, we use optimal polarization theory and optimization of polarimetric contrast enhancement (OPCE) theory to enhance change phenomenon respectively. Then, the probability relaxation iteration algorithm is made use of to extract change information automatically. This method can not only improve the accuracy, decrease noise, but also can determine the change type, it is a kind of ideal change detection method.