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遥感技术与应用  2010, Vol. 25 Issue (5): 597-603    DOI: 10.11873/j.issn.1004-0323.2010.5.597
图像处理     
基于分水岭变换与空间聚类的高分辨率遥感影像面向对象分类
陈 杰1,邓 敏1,肖鹏峰2,杨敏华1,梅小明1,刘慧敏1
1.中南大学测绘与国土信息工程系,湖南 长沙410083;
2.南京大学地理信息科学系,江苏 南京210093
Object-oriented Classification of High Resolution Imagery Based on Watershed Transform and Spatial Clustering
CHEN Jie1,DENG Min1,XIAO Peng-feng2,YANG Min-hua1,MEI Xiao-ming1,LIU Hui-min1
1.Department of Surveying and Geo\|informatics,Central South University,Changsha 410083,China;
2.Department of Geographical Information Science,Nanjing University,Nanjing 210093,China
 全文: PDF(4236 KB)  
摘要:

面向对象方法已广泛应用于高分辨率遥感影像分类,提出一种结合改进分水岭变换与空间聚类的遥感影像面向对象分类新方法。首先,基于相位一致思想分析图像特征,由Gabor小波多尺度、多方向提取QuickBird全色影像的梯度信息;利用扩展最小变换与强制最小技术分别获取图像前景标识、重建相位一致梯度图像,利用改进后的分水岭变换获得分割对象。然后,提取各对象的多波段光谱特征,利用Gabor小波获取对象纹理矢量,并用独立成分分析方法进行特征选择,依次进行对象的光谱与纹理聚类。最后,通过分析对象间空间拓扑关系判断聚类后不确定对象的类别属性。实验结果表明该方法能取得较好结果,在一定程度上提高了影像分类的自动化水平。

关键词: 面向对象相位一致分水岭变换空间聚类Gabor小波    
Abstract:


Object-oriented classification of high spatial resolution remote sensing imagery is a very popular theme in the field of remote sensing science.A new approach of object\|oriented combining improved watershed transform with spatial clustering is proposed to classify high resolution remote sensing imagery in this paper.Firstly,gradient image is obtained by applying phase congruency model to the QuickBird panchromatic image with log Gabor wavelet filters from multi\|scale and multi-direction.Extended minima transform and minima imposition are used to get foreground marking of interesting objects and present gradient reconstruction,thus to achieve better segmentation using watershed transform based on these improvement measures.Secondly,spectral feature is obtained from multi\|spectral remote sensing images,texture vector is achieved by Gabor wavelet and selected by Independence Component Analyses,and clustering based on the two features of objects.Finally,topological relationships between objects are fully considered in order to classify the uncertain objects after the former clustering.Results of experiments demonstrate that the new method can get desired classification results and improve the automatization of remote sensing data classification to some extent.

Key words: Object-oriented    Phase congruency    Watershed transform    Spatial clustering    Gabor wavelet
收稿日期: 2010-04-01 出版日期: 2013-10-30
基金资助:

国家863计划项目(2008AA12Z106)、国家自然科学基金项目(40801166)资助。

作者简介: 陈杰(1980- ),男,博士研究生,主要从事高分辨率遥感影像分割与面向对象分类研究。E-mail:cjcsu@163.com。
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引用本文:

陈 杰,邓 敏,肖鹏峰,杨敏华,梅小明,刘慧敏. 基于分水岭变换与空间聚类的高分辨率遥感影像面向对象分类[J]. 遥感技术与应用, 2010, 25(5): 597-603.

链接本文:

http://www.rsta.ac.cn/CN/Y2010/V25/I5/597

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