Spatial Indexes for the Extraction of Formal and Informal Human Settlements From High-Resolution SAR Images

被引：91

作者：

Stasolla, Mattia ^{[1
]}

Gamba, Paolo ^{[1
]}

机构：

[1] Univ Pavia, Dept Elect, I-27100 Pavia, Italy

来源：

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING | 2008年 / 1卷 / 02期

关键词：

Informal settlements; mathematical morphology; spatial autocorrelation; urban remote sensing;

D O I：

10.1109/JSTARS.2008.921099

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：

In this paper, a novel procedure for extracting human settlement extent in high-resolution SAR images, based on local autocorrelation and morphological processing, is presented. The algorithm is based on two steps. Hints for human settlements by information fusion based on local indexes of spatial autocorrelation are the outputs of the first step. A morphological chain builds on top of them the final settlements' borders. Examples from very different areas, i.e., the Darfur region in Sudan and the Lombardy region in Italy, stress the robustness of the procedure as well as its effectiveness.

引用

页码：98 / 106

页数：9

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[1] The semivariogram in comparison to the co-occurrence matrix for classification of image texture [J].