基于图像内容层次表征的遥感图像 分割方法

张学良; 肖鹏峰; 冯学智

doi:10.11834/jig.20120120

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专辑

基于图像内容层次表征的遥感图像分割方法
Remotely sensed imagery segmentation based on the hierarchical representation of image content
2012年17卷第1期页码：142-149
纸质出版：2012
DOI： 10.11834/jig.20120120
稿件说明：

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张学良, 肖鹏峰, 冯学智. 基于图像内容层次表征的遥感图像分割方法[J]. 中国图象图形学报, 2012,17(1):142-149. DOI： 10.11834/jig.20120120.

Zhang Xueliang, Xiao Pengfeng, Feng Xuezhi. Remotely sensed imagery segmentation based on the hierarchical representation of image content[J]. Journal of Image and Graphics, 2012, 17(1): 142-149. DOI： 10.11834/jig.20120120.

摘要

提出基于图像内容层次表征的高分辨率遥感图像快速多精度分割方法。首先根据初始分割结果建立区域邻接图(RAG)

并将其定义为马尔可夫随机场(MRF);然后引入光谱、形状和边缘等图像特征进行层次合并

通过记录层次合并过程获得图像内容的层次表征;最后根据层次表征中不同层级对象之间的关系快速生成任意不同精度的分割结果

以满足不同应用的需求。利用QuickBird卫星图像进行实验和评价的结果表明

本文方法具有较高的精度和效率。

Abstract

A segmentation method for high-spatial resolution remotely sensed images segmentation based on the hierarchical representation of the image content is proposed in this paper.The hierarchical representation is built through a hierarchical merging process based on an initial segmentation.First

we build the region adjacency graph (RAG) on which a Markov random field (MRF) is defined.Then the hierarchical merging process

where the merging criterion includes multi-spectral

edge and shape features

is applied and recorded on the RAG to obtain the hierarchical representation.It is quite efficient to produce a number of segmentation results with different precisions using the relationship of different objects in the hierarchical representation.Experimental results on QuickBird images show that the proposed method can greatly improve the segmentation efficiency and produce high quality results.