电子学报2016，Vol.44Issue(12)：2849-2854,6.DOI:10.3969/j.issn.0372-2112.2016.12.006
基于图割与阴影邻接关系的高分辨率遥感影像建筑物提取方法
BuiIding Extraction from High ResoIution RemoteIy Sensed I magery Based on Shadows and Graph-Cut Seg mentation
摘要
Abstract
Automatic building extraction from high spatial resolution remotely sensed imagery can accelerate the update process for urban basic geographic database.One problem of building extraction methods is the difficulty of extracting the pre-cise building contour.This article proposes an approach to recognizing and extracting buildings from high resolution remotely sensed imagery based on shadows and graph-cut segmentation.Firstly,shadows were detected by using potential histogram function.Then,candidate segmentation objects were selected from the result of graph-cut segmentation with the constraint by integrating aspect ratio and rectangularity.At last,shadows were processed with open,dilate and corrode operations respective-ly,while buildings and their exact boundaries were extracted with adjacency between processed shadows and candidate segmen-tation objects.For verifying the validity of the proposed method,six sub-images were chosen from PLEIADES images.Experi-mental results show that the average precision and recall of the proposed method are 92. 3 1%and 74. 23%respectively.关键词
遥感影像/阴影/图割/建筑物提取Key words
remotely sensed imagery/shadows/graph-cut/building extraction分类
信息技术与安全科学引用本文复制引用
施文灶,毛政元..基于图割与阴影邻接关系的高分辨率遥感影像建筑物提取方法[J].电子学报,2016,44(12):2849-2854,6.基金项目
“十二五”国家科技支撑计划项目（No．2013BAC08B02-01）；国家重点基础研究发展计划项目课题（No．2006CB708306）；福建省教育厅项目 （）
