A data-fusion approach to partially supervised classification

被引：0

作者：

Prieto, DF ^{[1
]}

Arino, O ^{[1
]}

机构：

[1] ESA ESRIN, Earth Observat Applicat Dept, I-00044 Frascati, Rome, Italy

来源：

IGARSS 2001: SCANNING THE PRESENT AND RESOLVING THE FUTURE, VOLS 1-7, PROCEEDINGS | 2001年

关键词：

D O I：

暂无

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, we face the problem of partially supervised classification under a data-fusion perspective. The objective is to map one class (or only few classes) of interest in multisensor remote-sensing data by using exclusively training samples belonging to such class (or classes). The proposed methodology is based on a combined use of a Radial Basis Function (RBF) -like network and a Markov random field (MRF) approach.

引用

页码：858 / 860

页数：3

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