异源影像融合优化区域内单体模型的方法

A Method for Optimizing Individual Models Within A Regional Area Through Fusion of Heterogeneous Images

针对传统空地影像建模方法重建区域古建筑实景三维模型效率低、数据缺失、内部单体模型精度不高的难题,提出一种结合摆动航摄与近景摄影测量技术优化区域实景三维模型内部单体模型的建模方法。首先,以无人机摆动航摄获取整个目标区域的高空框架影像,同时通过多圆交叉环绕航摄及单反相机近景摄影结合获取低空细部影像数据;其次,利用设定过渡影像及像控点信息实现空地异源影像的融合,以此构建区域古建筑实景三维模型达到优化其内部单体模型的效果;最后,与传统空地影像建模方法和成果进行效率、单体模型精度及纹理质量对比分析,验证了所提方法的优越性。结果表明,该方法的外业数据采集效率比传统方法提升37.8%,内业数据处理效率提升31.9%,单体模型精度得到较大提升,为提升区域古建筑模型内部单体模型精度提供了技术参考。

In response to the challenges of low efficiency,data loss,and low accuracy in reconstructing realistic 3D models of the interior components of regional historical buildings using traditional aerial imagery modeling methods,we propose a modeling approach that integrates swinging aerial photography and close-range photogrammetry to optimize the interior components of the regional realistic 3D model.Firstly,aerial images of the entire target area are obtained through swinging aerial photography using unmanned aerial vehicles(UAVs),while obtaining low-altitude detailed image data through multi-ring cross-sectional aerial surveys and close-range photography with a single-lens reflex camera.Secondly,the integration of aerial and ground images is achieved using transitional images and ground control point information to construct a realistic 3D model of regional historical buildings,optimizing the representation of their interior components.Finally,the efficiency,accuracy of individual models,and texture quality of the proposed method are compared and analyzed against traditional aerial imagery modeling methods and results.The results demonstrate the superiority of the proposed method.The field data collection efficiency is improved by 37.8%,and the data processing efficiency is increased by 31.9%.The accuracy of individual models is significantly enhanced.This method provides a technical reference for improving the accuracy of individual models within regional historical building models.