相位解缠作为InSAR技术中的关键步骤,一直是研究的难点和热点。通常的相位解缠方法在相位解缠前首先必须进行噪声消除,而卡尔曼滤波将相位解缠问题转化为状态估计问题,实现了相位解缠与噪声消除一并处理,成为一种相位解缠新途径。并提出了卡尔曼滤波在相位解缠与噪声抑制中的一种新算法。
Phase unwrapping is the difficult point and hotspot in research on InSAR as the key step. At first noise must be eliminated before phase unwrapping in general methods of phase unwrapping. The Kalman filters transforms the phase unwrapping into state estimate sametime. Therefore a new method of Kalman Filters to deal with phase unwrapping and noise eliminating at the used in phase unwrapping and noise restraining is proposed.