Matching remote sensing imagery and GIS data is very important and a key step for applications of the imagery and integration of the imagery and GIS.The general approach includes following steps: control points selection

computation of rectification model parameters of the image and rectification of the whole image pixel by pixel.But the processing is very time-consuming when performed manually.To improve the processing efficiency

we present a new method based on area features.Our approach

guided by GIS knowledge

iteratively extracts an area feature and matches area features simultaneously.The matching experiment

which uses a QUBICKBIRD image and（1∶2000） GIS data in Pudong

Shanghai is presented.Comparison of the results of our approach and that of the traditional method indicates that the new approach can obtain better accuracy with limited manual operations.