CONSENSUAL CLUSTERING FOR LAND COVER MAPPING

被引：0

作者：

Campedel, Marine ^{[1
]}

Kyrgyzov, Ivan ^{[1
]}

机构：

[1] TELECOM ParisTech, CNRS LTCI, Inst MINES TELECOM, F-75013 Paris, France

来源：

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

关键词：

land cover classification; consensual clustering; mining tool;

D O I：

10.1109/IGARSS.2012.6351977

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 article we propose to illustrate the ability of consensual clustering to provide mining tools in the context of land cover unsupervised classification. The proposed algorithm is based on individual co-association matrices related to several input clusterings that are combined using a Mean Shift optimization procedure. This provides valuable clusters in terms of interpretation and also information about the data to be clustered, which could be useful to discriminate between easily classified pixels and the other ones, requiring human expertise. The interest of our approach is demonstrated using the Boumerdes dataset provided by SERTIT and CNES, in the context of the 2003 earthquake.

引用

页码：7294 / 7297

页数：4

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