HIGH-RISE BUILDING DETECTION IN DENSE URBAN AREA BASED ON HIGH RESOLUTION SAR IMAGES

被引：5

作者：

Tang, Kan ^{[1
]}

Liu, Bo ^{[2
]}

Zou, Bo ^{[1
]}

机构：

[1] Shanghai Aerosp Sci & Technol Corp, Res Inst 802, Shanghai 200090, Peoples R China

[2] Qian Xuesen Lab Space Technol, Beijing 100094, Peoples R China

来源：

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年

关键词：

high-rise; texture spectrum; urban areas; SAR; INSAR DATA;

D O I：

10.1109/IGARSS.2016.7729400

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Building extraction is an important task for SAR applications in many fields, such as urban planning, population distribution, and environment evaluation. In this paper, we focus on high-rise buildings in complex urban scenarios. The specific characteristics of high-rise building in high resolution (HR) SAR images are analyzed firstly. In particular, we explore the contextual information of bright line features as corner lines and double bounce; extract the textural feature of the periodic patterns appearing in the layover area. Given those signature details, a new algorithm exploit the building information is proposed for high-rise building detection from single SAR images. The algorithm is applied on spotlight TerraSAR-X images of the center districts in Toronto, Canada, which confirm the applicability of the method for variable high-rise buildings.

引用

页码：1568 / 1571

页数：4

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