A new tie-points extraction and bundle block adjustment method for large-scale multi-view oblique images is presented. Firstly, exterior orientation data gained by POS are used to rectify oblique images and predict image correspondences, which can be matched using SIFT algorithm. Secondly, an unordered feature tracking method relies on union-find algorithm are adapted to detect the multi-view correspondences. After tie-points extracted, bundle adjustment are done with POS and control points data treated as weighted measurement. In the experiment part, three kinds of oblique images, taken by assembled lightweight oblique system, UltraCam and SWDC-5, are used to test the algorithm above. The results show that our method can adapt the popular oblique systems at home and abroad, which can process over 2000 images at a time. And the precision of oblique triangulation is better than the traditional vertical triangulation, with an accuracy of 0.75 GSD in horizontal direction, 2.0 GSD in elevation direction. © 2016, Surveying and Mapping Press. All right reserved.
