A hierarchical Markovian model for multiscale region-based classification of multispectral images

被引：0

作者：

Katartzis, A ^{[1
]}

Vanhamel, I ^{[1
]}

Sahli, H ^{[1
]}

机构：

[1] Free Univ Brussels, ETRO Dept, B-1050 Brussels, Belgium

来源：

2003 IEEE WORKSHOP ON ADVANCES IN TECHNIQUES FOR ANALYSIS OF REMOTELY SENSED DATA | 2004年

关键词：

D O I：

暂无

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

We propose a new multispectral image classification method, based on a Markovian model, defined on the hierarchy of a multiscale region adjacency graph. The paper describes the main principles of our method and illustrates classification results on a set of artificial and remote sensing images, together with qualitative and quantitative comparisons with a variety of multi- and single-resolution Bayesian classification approaches.

引用

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页码：411 / 416

页数：6

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