高分影像建筑物阴影优化提取与高度估算Shadow optimization extraction and height estimation on high resolution imagery
程国旗,张继贤,李阳春,陈欢
摘要(Abstract):
针对现有方法提取阴影效率慢,提取不完整,估算过程未能实现半自动化甚至自动化的问题,该文基于高分二号影像,提出一种将K-means图像分割算法与阴影后处理结合一体应用在建筑物阴影提取的方法:首先,选择建筑物间隔稀疏,结构规则的城郊区域,利用K-means图像分割获取建筑物阴影、建筑物2类以提取建筑物阴影;其次,通过形态学算法、Canny边缘检测等对阴影后期处理,去除小区域及孔洞填充,边缘信息检测,获取最终建筑物阴影;最后,根据太阳、卫星、建筑物以及阴影长度之间几何关系计算建筑物高度。考虑研究区域户型,每层楼高以2.8 m量测建筑物实际高度作为验证,实验结果表明:利用K-means图像分割能有效提取出阴影区域,与后期阴影优化策略结合,大幅度改善了阴影区域的完整性,获取建筑物高度信息自动化程度得到提高。
关键词(KeyWords): K-means聚类算法;形态学运算;Canny算法;高分二号影像
基金项目(Foundation): 机载干涉SAR高精度测绘创新交叉团队项目(Q1634);; 国家重点研发子课题项目(G17S301);; 中国测绘科学研究院基本科研业务费项目(7771808);; 河南省高等学校重点科研项目计划资助项目(18B420002)
作者(Author): 程国旗,张继贤,李阳春,陈欢
DOI: 10.16251/j.cnki.1009-2307.2020.08.016
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