A Strategy Improving Registration Accuracy Progressively for INSAR Complex Image

Registration accuracy of InSAR is a key index in the procedure of the processing InSAR data. To obtain better measuring results, A multi-steps matching method is proposed to improve registration accuracy progressively for InSAR complex image. First, we calculate the approximate offsets by using software EnView. Then, we perform pixel level´s primary matching and sub-pixel level´s precise registration. The primary matching algorithm is based on texture structure information. Considering that the presented algorithms are based on the amplitude map and ignore the integration, the algorithm by using global relaxation matching on account of the phase is proposed in the last matching step to reduce the matching errors and improve matching precision. The experiment verified the nicer validity of this algorithm.