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True orthophoto generation using line segment matches
The Photogrammetric Record ( IF 2.1 ) Pub Date : 2018-02-21 , DOI: 10.1111/phor.12229
Qiang Wang 1, 2 , Lei Yan 2 , Yanbiao Sun 3 , Ximin Cui 1 , Hugh Mortimer 4 , Yanyan Li 5
Affiliation  

When generating a true orthophoto from aerial urban scenes, especially those containing man‐made features with large height differences, sawtooth effects in feature edges can occur in the rectified images. Aiming to eliminate such effects, this study proposes an advanced orthorectification method using line segment matches, allowing 3D building edges to be accurately reconstructed. The corresponding 2D line segments are first extracted and matched, enabling the reconstruction of 3D line segments by joining two planes and imposing a line end‐point constraint. The 3D line segments are then dissected into discrete 3D points to be incorporated into the 3D point cloud obtained by a dense matching algorithm. Finally, a more complete and accurate triangulated irregular network (TIN) model can be constructed to provide important basic data for true orthophoto production. Experimental results show that sawtooth effects can be eliminated, resulting in significantly improved quality in the true orthophotograph.

中文翻译:

使用线段匹配生成正射影像

从空中城市场景中生成真实的正射影像时,尤其是那些包含高度差异较大的人造特征的正射影像时,在校正后的图像中会出现特征边缘的锯齿效应。为了消除这种影响,本研究提出了一种使用线段匹配的高级正射校正方法,可以精确地重建3D建筑边缘。首先提取并匹配相应的2D线段,通过连接两个平面并施加线端点约束来实现3D线段的重构。然后将3D线段分解为离散的3D点,以合并到通过密集匹配算法获得的3D点云中。最后,可以构建更完整和准确的三角不规则网络(TIN)模型,以提供用于真实正射影像生产的重要基础数据。实验结果表明,可以消除锯齿效应,从而大大提高了正射照片的质量。
更新日期:2018-02-21
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