ADAPTIVE EXTRACTION OF WATER IN URBAN AREAS BASED ON LOCAL ITERATION USING HIGH-RESOLUTION MULTI-SPECTRAL IMAGE

被引：5

作者：

Zhou Yanan ^{[1
]}

Luo Jiancheng ^{[1
]}

Shen Zhanfeng ^{[1
]}

Cheng Xi ^{[1
]}

Hu Xiaodong ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing, Peoples R China

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

water extraction; local iteration; urban area; high-resolution multi-spectral image;

D O I：

10.1109/IGARSS.2012.6352234

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：

Urban water extraction from high-resolution remote sensing image is one of important aspects for regional-urban environment research. However, the past researches mainly centered upon moderate and low resolution image, water body in open country and global scale for water extraction, which can't achieve better performance. To solve those problems, an adaptive method to extract urban water was proposed based on local iteration using high-resolution remote sensing image. In each iteration, segmented buffers were constructed with adaptive length and radius to exploit information in local scale, and also spatial consistency was token into account for an improvement of local classification. Experiments demonstrated that the proposed method was applicable in urban water extraction from high-resolution image.

引用

页码：6024 / 6027

页数：4

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