本文提出一個新方法來施行空照數位相機拍攝取得的高重疊數位影像之自動化特徵點追蹤匹配，討論此方法的設計構想，希望藉以使用成功匹配點來產生大量三維物表點以供後續的應用，例如求定數值地形模型、三維城市建模。本文也提出一些初步的測試成果和分析，並做出一些初步的歸納與結論。另外，也對新一代的數值航空攝影測量和空載光達測量進行比較與討論。

This paper presents a new method for matching corresponding points in highly overlapping digital aerial images taken from digital aerial cameras. The ideas and concepts concerned are briefly described. A huge number of matched points are then used to determine a dense cloud of 3D object points for later applications such as DTM determination and 3D cyber city modeling. Some preliminary test results are shown and analyzed. Concluding remarks are also drawn. Moreover, a new era of digital aerial photogrammetry are compared and discussed with airborne LiDARgrammetry.

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