Error precision analysis is the important guarantee of block adjustment (BA) of multi-source remote sensing data, because it not only guarantees the edge accuracy of different source data, but also improves the stability of the whole regional network adjustment. With the development of the domestic satellite, the multi-source BA has been applied to it; however, the research on precision analysis of multi-source BA and the relationship between multi-source and single-source BA is relatively deficient. According to RPC (rational polynomial coefficient), an experiment that has constructed the multi-source BA model of multi-source remote sensing data based on domestic satellite (GF-1, GF-2, ZY-3) of Chongqing area was carried out in this paper, where a series of effects of BA to correct the systematic errors and the relationship between multi-source and single-source BA were in-depth analyzed under the different plans of control points. The results show that the BA of domestic multi-source high resolution satellite images is feasible, which can also improve the accuracy for single-source BA.
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