Co-segmentation and superpixel-based graph cuts for building change detection from bi-temporal digital surface models and aerial images(Open Access)

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成果类型：

期刊论文

作者：

Pang, Shiyan;Hu, Xiangyun*;Zhang, Mi;Cai, Zhongliang;Liu, Fengzhu

通讯作者：

Hu, Xiangyun

作者机构：

[Pang, Shiyan] Cent China Normal Univ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.

[Pang, Shiyan; Hu, Xiangyun] Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China.

[Cai, Zhongliang; Pang, Shiyan] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

[Zhang, Mi; Hu, Xiangyun] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Hubei, Peoples R China.

[Liu, Fengzhu] Beijing Insititute Surveying & Mapping, Beijing 100038, Peoples R China.

通讯机构：

[Hu, Xiangyun] W

Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China.

Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Hubei, Peoples R China.

语种：

英文

关键词：

building change detection;co-segmentation;graph cuts;digital surface models;aerial images

期刊：

Remote Sensing

ISSN：

2072-4292

年：

2019

卷：

期：

页码：

729-

DOI：

10.3390/rs11060729

基金类别：

This study was partially supported by National Natural Science Foundation of China (Project No. 41701389 and 41771363), the research funding by Guangzhou Science, Technology and Innovation Commission (Project No. 201802030008), China Postdoctoral Science Foundation funded project (Project No. 2016M602363), Beijing Postdoctoral Research Foundation (Project No. 2018046) and Funded by Beijing Key Laboratory of Urban Spatial Information Engineering (Project No. 2019208).

机构署名：

本校为第一机构

院系归属：

教育信息技术学院

摘要：

Thanks to the recent development of laser scanner hardware and the technology of dense image matching (DIM), the acquisition of three-dimensional (3D) point cloud data has become increasingly convenient. However, how to effectively combine 3D point cloud data and images to realize accurate building change detection is still a hotspot in the field of photogrammetry and remote sensing. Therefore, with the bi-temporal aerial images and point cloud data obtained by airborne laser scanner (ALS) or DIM as the data source, a novel building change detection method combining co-segmentation and superpi...

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Co-segmentation and superpixel-based graph cuts for building change detection from bi-temporal digital surface models and aerial images(Open Access)

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