面向多尺度分割的疑似违章建筑提取算法

大气与环境光学学报 ›› 2021, Vol. 16 ›› Issue (1): 67-73.

面向多尺度分割的疑似违章建筑提取算法

杨杰1, 高伟1∗, 段茜茜2, 胡洋1

1 天津城建大学地质与测绘学院, 天津 300384; 2 邯郸市恒达地理信息工程有限责任公司, 河北邯郸 056000

收稿日期:2020-05-02 修回日期:2020-09-25 出版日期:2021-01-28 发布日期:2021-02-02
通讯作者: E-mail: gaoweichina@163.com E-mail:yangjie3236@163.com
作者简介:杨杰 (1996- ), 女, 山东费县人, 硕士研究生, 主要从事测绘与 3 S 技术应用方面的研究。 E-mail: yangjie3236@163.com

Multi-Scale Segmentation-Oriented Extraction Algorithm for Suspected Illegal Buildings

#br# YANG Jie1, GAO Wei1∗, DUAN Xixi2, HU Yang1

1 School of Geology and Geomatics, Tianjin Chengjian University, Tianjin 300384, China; 2 Handan Hengda Geographic Information Engineering Co., Ltd, Handan 056000, China

Received:2020-05-02 Revised:2020-09-25 Published:2021-01-28 Online:2021-02-02

摘要/Abstract

摘要： 针对城市中疑似违章建筑物信息提取的问题, 提出了一种基于多尺度分割方法提取疑似违章建筑信息的新算法。该算法首先通过设置多尺度分割参数对遥感影像进行分割, 然后通过正射校正、辐射定标、大气校正对遥感影像进行预处理, 最后通过多尺度分割实验分析各参数对尺度分割效果的影响。研究结果表明分割尺度为 150、形状比例系数为 0.7、紧致度比例系数为 0.3 时, 影像的分割效果最佳。

关键词: 建筑监测, 高分二号, 多尺度分割, 城市管理

Abstract: Aiming at the problem of information extraction of suspected illegal buildings in cities, a new algorithm for extracting suspected illegal building information based on multi-scale segmentation method is proposed. Firstly, the remote sensing image is segmented by setting multi-scale segmentation parameters, then is preprocessed by orthorectification, radiometric calibration, and atmospheric correction. Finally, the influence of each parameter on the scale segmentation effect is analyzed through multi-scale segmentation experiment. The results show that when the segmentation scale is 150, the shape scale factor is 0.7, and the compactness scale factor is 0.3, the image segmentation effect is the best.

Key words: building monitoring, GF-2 , multi-scale segmentation, urban management

中图分类号:

P237

杨杰, 高伟∗, 段茜茜, 胡洋. 面向多尺度分割的疑似违章建筑提取算法[J]. 大气与环境光学学报, 2021, 16(1): 67-73.

Yang HU. Multi-Scale Segmentation-Oriented Extraction Algorithm for Suspected Illegal Buildings[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(1): 67-73.

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