计算机科学 ›› 2021, Vol. 48 ›› Issue (8): 169-174.doi: 10.11896/jsjkx.200500096
许华杰1,2, 张晨强1, 苏国韶3
XU Hua-jie1,2, ZHANG Chen-qiang1, SU Guo-shao3
摘要: 针对建筑物3D建模场景下所需的建筑物主体轮廓俯视平面图获取成本较高、航拍图建筑物的分割精度低、建筑物屋顶存在干扰物影响分割等问题,文中提出了一种将5个点的位置表示为热图作为网络额外输入通道的基于深层残差网络的航拍图建筑物精确分割方法,该方法在航拍图建筑物的精确分割任务中取得了比较好的分割效果。实验结果表明,该方法具有比传统半自动分割方法Grabcut更高的分割精度和分割效率;具有比DEXTR方法更好的鲁棒性和抗干扰性。该方法可以为建筑物3D重建任务提供高精度的建筑物俯视轮廓图和建筑物顶部图片,还可以在航拍图建筑物数据集的制作过程中,作为一种准确和有效的掩码注释工具或半自动轮廓标注工具,以提高数据集的标注效率。
中图分类号:
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