LAND COVER CLASSIFICATION USING MULTI-SOURCE IMAGES BY TAU MODEL

被引：0

作者：

Li, Peijun ^{[1
]}

Xu, Haiqing ^{[1
]}

Song, Benqin ^{[1
]}

机构：

[1] Peking Univ, Inst Remote Sensing & GIS, Beijing 100871, Peoples R China

来源：

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

关键词：

decision fusion; land cover classification; Tau model; INFORMATION;

D O I：

10.1109/IGARSS.2012.6352583

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：

This paper proposed a decision fusion method based on Tau model for land cover classification. The method explicitly takes into account conditional correlation existed between different classification results from multi-sensor data. The proposed method was evaluated and compared with an existing decision fusion method using Landsat TM/ETM+ and ENVISAT ASAR data from Beijing urban area. The results showed that the proposed method produced comparable with or slightly better than the traditional fusion methods.

引用

页码：6876 / 6878

页数：3

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