Abstract:Based on the requirement of block data management, control points selection and tilt image attitude information collation, a large amount of tilt image data need to be manually collated before data is imported into the modeling software. The follow-up data processing of traditional tilt photography involves complicated processes, such as image classification, renaming according to specifications, image rotation according to heading, input of tilt image information table, etc. which usually requires manual operation with high labor intensity, especially for multi view massive data with high error rate. The purpose of this paper is to study a fast automatic sorting method of tilt images based on consumer UAV. The program replaces manual batch to realize classification of tilt images, multi-view images renaming, Exif-GPS information extraction, exposure points trajectory and block tilt image information table making. The real scene of Qianyanggang village in Tengzhou city of Shandong province is taken as an example to prove that this method can greatly reduce the labor intensity, shorten the data processing cycle. It is of great reference and practical value to improve the efficiency of real scene 3D modeling based on consumer UAV tilt photography.
