Sea WiFS与AVHRR资料自动几何配准

研究了一种自动几何配准的方法，来实现多时相的卫星资料和不同遥感资料之间的几 配准。利用海岸线自动选取ＧＣＰ的点，借助相关松弛法录找同名点，且有判别机制来保证ＧＣＰ的正确性，可以方便地得到分布密集的ＧＣＰ值。同时研究了二元ｎ次方程组和ＧＣＰ数目与配维精度的关系，得到ＧＣＰ数目的增加可明显提高几何配准精度。利用该方法对ＳｅａＷｉＦＳ和ＡＶＨＲＲ资料进行了几何配准，可以提高几何配准的精度和节省机时，为遥

Automatic Image Registration of Sea WiFS and AVHRR Data

An automatic approach of image registration is developed to register the multi_temporal images of different sensors. A point in the coastline derived from SeaWiFS and AVHRR images is taken as a ground control point (GCP), and the correlation_relaxation (CR) technique is employed to search the counterpart point of GCP. The correction of GCP values is guaranteed by a decision rule, which will improve the accuracy of registration. The relationship between the n th order bivariate transforms and the accuracy of registration is studied. The averages of RMS show that the larger number of GCP will lead to the more accurate image registration, while the high order bivariate transforms can not reduce that RMS of two images. The large number of GCP obtained by this method give a chance to study new transforms for geometric rectification to improve the accuracy of image registration. The approach described in the paper can be used in dynamic monitoring and integrating of Satellite data.