Research on Feature Point Extraction and Matching in Aerial Photogrammetry

摘要

The timeliness of system is restricted by processing speed of images in aerial photogrammetry. This paper focuses on the feature points extraction and matching of images based on unmanned airship. A simplified algorithm, which increases the speed of extraction through pixel-spaced sampling and the speed of matching through reducing the search band, is introduced. RANSAC algorithm is used to estimate fundamental matrix. In order to achieve robust and accurate matching, epipolar lines are calculated and used for refinement of matching. The experimental results show that the simplified algorithm can not only reduce the time complexity, maintain robust quality, extract enough feature points to match, but also improve the image matching efficiency.