建筑物轮廓双向驱动自适应分割重构的规则化方法  

Regularization Method for Building Contour Based on Bidirectional-Driven Adaptive Segmentation and Reconstruction

作　　者：钟康 高贤君[1,2] 杨元维 谭美淋 潘美美 Zhong Kang;Gao Xianjun;Yang Yuanwei;Tan Meilin;Pan Meimei(School of Geosciences,Yangtze University,Wuhan 430100,Hubei,China;Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake,Ministry of Natural Resources,East China University of Technology,Nanchang 330013,Jiangxi,China;Inner Mongolia Autonomous Region Surveying and Mapping Geographic Information Center,Hohhot 010050,Inner Mongolia,China)

机构地区：[1]长江大学地球科学学院,湖北武汉430100 [2]东华理工大学自然资源部环鄱阳湖区域矿山环境监测与治理重点实验室,江西南昌330013 [3]内蒙古自治区测绘地理信息中心,内蒙古呼和浩特010050

出　　处：《激光与光电子学进展》2023年第20期192-201,共10页Laser & Optoelectronics Progress

基　　金：自然资源部环鄱阳湖区域矿山环境监测与治理重点实验室开放基金(MEMI-2021-2022-08);湖南科技大学测绘遥感信息工程湖南省重点实验室开放基金(E22133,E22205);城市轨道交通数字化建设与测评技术国家工程实验室开放课题基金(2021ZH02);海南省地球观测重点实验室开放基金(2020LDE001)。

摘　　要：针对从高分遥感影像中提取建筑物易受阴影和植被等遮挡而导致错误检测的问题,提出一种建筑物轮廓双向驱动自适应分割重构的规则化方法。首先采用基于最小外接矩形(MBR)的平直旋转变换算法,旋转建筑物轮廓至水平或竖直状态,减少轮廓图形学显示上的锯齿表征;然后设计MBR和Shi-Tomasi联合双向驱动建筑物轮廓自适应分割算法,将轮廓化整为零精准分割形成局部片段;最后提出基于局部最优权拟合的轮廓重构算法,依次对局部片段进行属性分配、约束重组、最优权拟合与坐标重组,实现建筑物轮廓的规则化。实验结果表明,与初始提取结果相比,经所提方法规则化的轮廓视觉效果更好。与同类基于栅格填充、角点校正、最优外接矩形拟合和主方向的4种轮廓规则化方法相比,所提方法在保证规则化效率的同时,精度也更高,具有更广泛的适用性,对常见包含不同角度变化的复杂建筑物均能得到更加规整的轮廓,可作为建筑物提取后处理规则化的参考手段。Building extraction from high-resolution remote sensing images is easily affected by the surrounding shadows and vegetation,leading to incorrect detection of buildings in these areas and the building contour would deviate considerably from its actual shape.Therefore,this paper proposes a regularization method for building contour based on bidirectional-driven adaptive segmentation and reconstruction to solve this problem.First,to reduce the jagged representation on the contour graphics display,a flat rotation transformation algorithm based on the minimum bounding rectangle(MBR)was adopted to rotate the building contour to the horizontal or vertical state.Then,MBR and ShiTomasi were combined to develop the bidirectional-driven adaptive segmentation algorithm,thereby allowing the building contours to be divided into small parts to form accurate local segments.Finally,a contour reconstruction algorithm based on local optimal weight fitting was proposed.The regularization of the building contour was achieved through attribute assignment,constraint recombination,optimal weight fitting,and coordination reconstruction of local segments.Compared with the initial extraction results,the visual experimental results of the regularized contour obtained using the proposed method are better.Furthermore,compared with the other four similar contour regularization methods based on grid filling,corners correction,suitable circumscribed rectangle fitting,and main direction,the proposed method provides an efficient contour regularization,a higher accuracy,and broader applicability.The proposed method can obtain more regular contours for typical complex buildings with different angle changes.This method can be used as a reference for post-processing regularization of building extraction.

关 键 词：建筑物轮廓规则化 双向驱动 自适应分割重构 最小外接矩形 Shi-Tomasi角点 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置]